Content graph

Built from the content collections at build time — always current.

Explicit link A/B Testing Methodology Toolkit → Volta Neobank — Product Analytics weight: 1 Explicit link A/B Testing Methodology Toolkit → CRM Experiment Lab — Segment-Stage Randomization, GCG and Net Effect weight: 1 Explicit link A/B Testing Methodology Toolkit → LinkedIn Content Analytics weight: 1 Explicit link A/B Testing Methodology Toolkit → Product A/B & Funnel Analytics — Conversion versus Retention weight: 1 Explicit link A/B Testing Methodology Toolkit → SERP Rank Lab weight: 1 Explicit link A/B Testing Methodology Toolkit → Confidence interval weight: 1 Explicit link A/B Testing Methodology Toolkit → Sample size weight: 1 Explicit link Airflow DAG Platform → Volta Neobank — Product Analytics weight: 1 Explicit link Airflow DAG Platform → SQL Analytics Case Study weight: 1 Explicit link Airflow DAG Platform → Воспроизводимые пайплайны данных: от seed до CI weight: 1 Explicit link Airflow DAG Platform → GitHub Actions для аналитика: автоматизация без очереди к разработке weight: 1 Explicit link Data Analyst Telegram Bot → Автоматизация недельных отчётов через Telegram-бота weight: 1 Explicit link Causal / Uplift — CUPED and Individual Treatment Effects → A/B Testing Methodology Toolkit weight: 1 Explicit link Causal / Uplift — CUPED and Individual Treatment Effects → Churn + uplift: кому дать скидку (причинный таргетинг) weight: 1 Explicit link Causal / Uplift — CUPED and Individual Treatment Effects → CRM Experiment Lab — Segment-Stage Randomization, GCG and Net Effect weight: 1 Explicit link Causal / Uplift — CUPED and Individual Treatment Effects → Promo Margin Lab — what a promo rouble actually earns weight: 1 Explicit link Causal / Uplift — CUPED and Individual Treatment Effects → Correlation and causation weight: 1 Explicit link Churn Prediction — Leakage-Free Retention Model → Churn + uplift: кому дать скидку (причинный таргетинг) weight: 1 Explicit link Churn Prediction — Leakage-Free Retention Model → ML Fundamentals — scikit-learn Pipeline weight: 1 Explicit link Churn Prediction — Leakage-Free Retention Model → Платёжные отказы: как вернуть потерянный revenue weight: 1 Explicit link ClickHouse — ten SQL cases on 50M rows → SQL Analytics Case Study weight: 1 Explicit link ClickHouse — ten SQL cases on 50M rows → Airflow DAG Platform weight: 1 Explicit link Cohort Analysis Dashboard → Когортный анализ удержания weight: 1 Explicit link Delivery Control Tower → SQL Analytics Case Study weight: 1 Explicit link Delivery Control Tower → Cohort Analysis Dashboard weight: 1 Explicit link Delivery Control Tower → A/B Testing Methodology Toolkit weight: 1 Explicit link Delivery Control Tower → Оконные функции: gaps-and-islands, топ-N, range-join для stickiness weight: 1 Explicit link Browser Mini-Games — Analytics Arcade → A/B Testing Methodology Toolkit weight: 1 Explicit link Browser Mini-Games — Analytics Arcade → Cohort Analysis Dashboard weight: 1 Explicit link Browser Mini-Games — Analytics Arcade → SQL Analytics Case Study weight: 1 Explicit link Browser Mini-Games — Analytics Arcade → Why the aggregate lies: cohort retention triangles weight: 1 Explicit link Browser Mini-Games — Analytics Arcade → This Portfolio Site weight: 1 Explicit link Browser Mini-Games — Analytics Arcade → Scrolly English Speaking weight: 1 Explicit link Digital Garden — EQ in IT → This Portfolio Site weight: 1 Explicit link Digital Garden — EQ in IT → Scrolly English Speaking weight: 1 Explicit link GMV Drop RCA — root cause on real data → SQL Analytics Case Study weight: 1 Explicit link GMV Drop RCA — root cause on real data → Classifieds liquidity — a measurability audit weight: 1 Explicit link GMV Drop RCA — root cause on real data → Кейсы с собеседований: как диагностировать просадку метрики weight: 1 Explicit link LinkedIn Content Analytics → TaskFlow — PostHog Product Analytics Pipeline weight: 1 Explicit link LinkedIn Content Analytics → Product Analytics Dashboard (Streamlit) weight: 1 Explicit link LinkedIn Content Analytics → Bootstrap weight: 1 Explicit link Classifieds liquidity — a measurability audit → SERP Rank Lab weight: 1 Explicit link Classifieds liquidity — a measurability audit → RFM Analysis of Bank Clients weight: 1 Explicit link ML Fundamentals — scikit-learn Pipeline → Python Analytics Playground weight: 1 Explicit link ML Fundamentals — scikit-learn Pipeline → A/B Testing Methodology Toolkit weight: 1 Explicit link ML Fundamentals — scikit-learn Pipeline → RAG Evaluation Harness — retrieval and generation metrics weight: 1 Explicit link Matemarketing 2026 Programme — a static replica → This Portfolio Site weight: 1 Explicit link OSS catalog — 47 projects from one source → This Portfolio Site weight: 1 Explicit link OSS catalog — 47 projects from one source → Digital Garden — EQ in IT weight: 1 Explicit link TaskFlow — PostHog Product Analytics Pipeline → Product Analytics + A/B on Supabase weight: 1 Explicit link Product A/B & Funnel Analytics — Conversion versus Retention → Volta Neobank — Product Analytics weight: 1 Explicit link Product A/B & Funnel Analytics — Conversion versus Retention → RFM Analysis of Bank Clients weight: 1 Explicit link Product A/B & Funnel Analytics — Conversion versus Retention → Юнит-экономика: CAC, LTV, payback и когорты weight: 1 Explicit link Promo Margin Lab — what a promo rouble actually earns → A/B Testing Methodology Toolkit weight: 1 Explicit link Promo Margin Lab — what a promo rouble actually earns → SQL Analytics Case Study weight: 1 Explicit link Promo Margin Lab — what a promo rouble actually earns → Churn + uplift: кому дать скидку (причинный таргетинг) weight: 1 Explicit link Promo Margin Lab — what a promo rouble actually earns → SERP Rank Lab weight: 1 Explicit link Python Analytics Playground → EDA-шаблон с кодом: разведочный анализ по-продуктовому weight: 1 Explicit link Python Analytics Playground → Воспроизводимые пайплайны данных: от seed до CI weight: 1 Explicit link Python Analytics Playground → RAG Evaluation Harness — retrieval and generation metrics weight: 1 Explicit link Python Analytics Playground → Data Analyst Telegram Bot weight: 1 Explicit link RAG Evaluation Harness — retrieval and generation metrics → Causal / Uplift — CUPED and Individual Treatment Effects weight: 1 Explicit link RFM Analysis of Bank Clients → RFM-сегментация клиентов weight: 1 Explicit link Sales Calls Analytics Dashboard → Product Analytics Dashboard (Streamlit) weight: 1 Explicit link Sales Calls Analytics Dashboard → Streamlit-дашборд за выходные: прототип без BI-системы weight: 1 Explicit link Scrolly English Speaking → This Portfolio Site weight: 1 Explicit link SERP Rank Lab → Volta Neobank — Product Analytics weight: 1 Explicit link SERP Rank Lab → Cohort Analysis Dashboard weight: 1 Explicit link This Portfolio Site → Чек-лист портфолио дата-аналитика weight: 1 Explicit link SQL Analytics Case Study → Оконные функции: gaps-and-islands, топ-N, range-join для stickiness weight: 1 Explicit link Product Analytics Dashboard (Streamlit) → Product Analytics + A/B on Supabase weight: 1 Explicit link Product Analytics Dashboard (Streamlit) → Streamlit-дашборд за выходные: прототип без BI-системы weight: 1 Explicit link Volta Neobank — Product Analytics → Почему мы перешли на байесовское A/B-тестирование weight: 1 Explicit link Volta Neobank — Product Analytics → User Journey / Path Analysis: где теряется пользователь weight: 1 Volta composition Volta Neobank — Product Analytics → Volta — Funnel Analysis weight: 1 Volta composition Volta Neobank — Product Analytics → Volta — KYC Progress-Bar A/B Test weight: 1 Volta composition Volta Neobank — Product Analytics → Volta — Retention & Cohorts weight: 1 Volta composition Volta Neobank — Product Analytics → Volta — User Segmentation weight: 1 Volta composition Volta Neobank — Product Analytics → Volta — Churn Prediction weight: 1 Volta composition Volta Neobank — Product Analytics → Volta — RFM Analysis weight: 1 Volta composition Volta Neobank — Product Analytics → Volta — CLV Modeling weight: 1 Volta composition Volta Neobank — Product Analytics → Volta — Marketing Attribution weight: 1 Volta composition Volta Neobank — Product Analytics → Volta — Anomaly Detection weight: 1 Volta composition Volta Neobank — Product Analytics → Volta — Spend Analysis weight: 1 Volta composition Volta Neobank — Product Analytics → Volta — Support & Churn weight: 1 Volta composition Volta Neobank — Product Analytics → Volta — NPS Trends weight: 1 Volta composition Volta Neobank — Product Analytics → Volta — JTBD × Cohorts weight: 1 Volta composition Volta Neobank — Product Analytics → Volta — Traveler Unit Economics weight: 1 Volta composition Volta Neobank — Product Analytics → Volta — Premium Upsell weight: 1 Volta composition Volta Neobank — Product Analytics → Volta — 45+ KYC Deep-Dive weight: 1 Volta composition Volta Neobank — Product Analytics → Volta — Referral Segments weight: 1 Volta composition Volta Neobank — Product Analytics → Volta — Assisted CAC vs LTV weight: 1 Volta composition Volta Neobank — Product Analytics → Volta — FX Sourcing Feasibility weight: 1 Volta composition Volta Neobank — Product Analytics → Volta — Segment Premium Offers weight: 1 Volta composition Volta Neobank — Product Analytics → Volta — Anchor Launch CAC at Scale weight: 1 Volta composition Volta Neobank — Product Analytics → Volta — Dormant 45+ Win-back weight: 1 Volta composition Volta Neobank — Product Analytics → Volta — Causal Validation of KYC (DiD) weight: 1 Explicit link Calibrating A/B methods with simulation: how to verify a method before production → A/B Testing Methodology Toolkit weight: 1 Explicit link Calibrating A/B methods with simulation: how to verify a method before production → Почему мы перешли на байесовское A/B-тестирование weight: 1 Explicit link Calibrating A/B methods with simulation: how to verify a method before production → Volta Neobank — Product Analytics weight: 1 Explicit link Кейсы с собеседований: как диагностировать просадку метрики → Чек-лист портфолио дата-аналитика weight: 1 Explicit link Кейсы с собеседований: как диагностировать просадку метрики → Продакт × аналитик: три кейса коллаборации weight: 1 Explicit link Кейсы с собеседований: как диагностировать просадку метрики → Проактивность аналитика за рамками роли weight: 1 Explicit link Проактивность аналитика за рамками роли → Чек-лист портфолио дата-аналитика weight: 1 Explicit link Проактивность аналитика за рамками роли → Volta Neobank — Product Analytics weight: 1 Explicit link Проактивность аналитика за рамками роли → Автоматизация недельных отчётов через Telegram-бота weight: 1 Explicit link Почему мы перешли на байесовское A/B-тестирование → A/B Testing Methodology Toolkit weight: 1 Explicit link Почему мы перешли на байесовское A/B-тестирование → RFM-сегментация клиентов weight: 1 Explicit link Почему мы перешли на байесовское A/B-тестирование → Когортный анализ удержания weight: 1 Explicit link Почему мы перешли на байесовское A/B-тестирование → Автоматизация недельных отчётов через Telegram-бота weight: 1 Explicit link Churn + uplift: кому дать скидку (причинный таргетинг) → Когортный анализ удержания weight: 1 Explicit link Churn + uplift: кому дать скидку (причинный таргетинг) → Volta Neobank — Product Analytics weight: 1 Explicit link Churn + uplift: кому дать скидку (причинный таргетинг) → Feature Impact: как измерить влияние фичи, когда A/B невозможен weight: 1 Explicit link Когортный анализ удержания → RFM-сегментация клиентов weight: 1 Explicit link Когортный анализ удержания → Автоматизация недельных отчётов через Telegram-бота weight: 1 Explicit link Why the aggregate lies: cohort retention triangles → Cohort Analysis Dashboard weight: 1 Explicit link Why the aggregate lies: cohort retention triangles → Когортный анализ удержания weight: 1 Explicit link Why the aggregate lies: cohort retention triangles → Calibrating A/B methods with simulation: how to verify a method before production weight: 1 Explicit link Why the aggregate lies: cohort retention triangles → Volta Neobank — Product Analytics weight: 1 Explicit link Why the aggregate lies: cohort retention triangles → Кейс Volta: воронка, A/B и retention на синтетике необанка weight: 1 Explicit link Дашборды, которые не врут: принципы продуктовой визуализации → Product Analytics Dashboard (Streamlit) weight: 1 Explicit link Дашборды, которые не врут: принципы продуктовой визуализации → Product Analytics + A/B on Supabase weight: 1 Explicit link Дашборды, которые не врут: принципы продуктовой визуализации → Why the aggregate lies: cohort retention triangles weight: 1 Explicit link Дашборды, которые не врут: принципы продуктовой визуализации → Sales Calls Analytics Dashboard weight: 1 Explicit link Чек-лист портфолио дата-аналитика → RFM-сегментация клиентов weight: 1 Explicit link Чек-лист портфолио дата-аналитика → Когортный анализ удержания weight: 1 Explicit link Чек-лист портфолио дата-аналитика → Почему мы перешли на байесовское A/B-тестирование weight: 1 Explicit link EDA-шаблон с кодом: разведочный анализ по-продуктовому → Воспроизводимые пайплайны данных: от seed до CI weight: 1 Explicit link EDA-шаблон с кодом: разведочный анализ по-продуктовому → Product Analytics Dashboard (Streamlit) weight: 1 Explicit link EDA-шаблон с кодом: разведочный анализ по-продуктовому → SQL Analytics Case Study weight: 1 Explicit link Feature Impact: как измерить влияние фичи, когда A/B невозможен → Calibrating A/B methods with simulation: how to verify a method before production weight: 1 Explicit link Feature Impact: как измерить влияние фичи, когда A/B невозможен → Почему мы перешли на байесовское A/B-тестирование weight: 1 Explicit link Feature Impact: как измерить влияние фичи, когда A/B невозможен → Volta Neobank — Product Analytics weight: 1 Explicit link Первая транзакция: как измерить активацию финтех-продукта → Volta Neobank — Product Analytics weight: 1 Explicit link Первая транзакция: как измерить активацию финтех-продукта → Why the aggregate lies: cohort retention triangles weight: 1 Explicit link Первая транзакция: как измерить активацию финтех-продукта → Кейс Volta: воронка, A/B и retention на синтетике необанка weight: 1 Explicit link GitHub Actions для аналитика: автоматизация без очереди к разработке → Воспроизводимые пайплайны данных: от seed до CI weight: 1 Explicit link GitHub Actions для аналитика: автоматизация без очереди к разработке → Автоматизация недельных отчётов через Telegram-бота weight: 1 Explicit link GitHub Actions для аналитика: автоматизация без очереди к разработке → SQL Analytics Case Study weight: 1 Explicit link North Star и конфликты метрик: почему одна метрика ломает продукт → Дашборды, которые не врут: принципы продуктовой визуализации weight: 1 Explicit link North Star и конфликты метрик: почему одна метрика ломает продукт → Когортный анализ удержания weight: 1 Explicit link North Star и конфликты метрик: почему одна метрика ломает продукт → TaskFlow — PostHog Product Analytics Pipeline weight: 1 Explicit link North Star и конфликты метрик: почему одна метрика ломает продукт → North Star metric weight: 1 Explicit link North Star и конфликты метрик: почему одна метрика ломает продукт → Guardrail metric weight: 1 Explicit link Платёжные отказы: как вернуть потерянный revenue → Когортный анализ удержания weight: 1 Explicit link Платёжные отказы: как вернуть потерянный revenue → Volta Neobank — Product Analytics weight: 1 Explicit link Платёжные отказы: как вернуть потерянный revenue → Автоматизация недельных отчётов через Telegram-бота weight: 1 Explicit link Платёжные отказы: как вернуть потерянный revenue → Churn weight: 1 Explicit link Продакт × аналитик: три кейса коллаборации → Volta Neobank — Product Analytics weight: 1 Explicit link Продакт × аналитик: три кейса коллаборации → Чек-лист портфолио дата-аналитика weight: 1 Explicit link Продакт × аналитик: три кейса коллаборации → Автоматизация недельных отчётов через Telegram-бота weight: 1 Explicit link Воспроизводимые пайплайны данных: от seed до CI → TaskFlow — PostHog Product Analytics Pipeline weight: 1 Explicit link Воспроизводимые пайплайны данных: от seed до CI → Product Analytics + A/B on Supabase weight: 1 Explicit link Воспроизводимые пайплайны данных: от seed до CI → SQL Analytics Case Study weight: 1 Explicit link RFM-сегментация клиентов → Автоматизация недельных отчётов через Telegram-бота weight: 1 Explicit link Оконные функции: gaps-and-islands, топ-N, range-join для stickiness → Why the aggregate lies: cohort retention triangles weight: 1 Explicit link Streamlit-дашборд за выходные: прототип без BI-системы → Дашборды, которые не врут: принципы продуктовой визуализации weight: 1 Explicit link Streamlit-дашборд за выходные: прототип без BI-системы → Воспроизводимые пайплайны данных: от seed до CI weight: 1 Explicit link Юнит-экономика: CAC, LTV, payback и когорты → Когортный анализ удержания weight: 1 Explicit link Юнит-экономика: CAC, LTV, payback и когорты → RFM-сегментация клиентов weight: 1 Explicit link Юнит-экономика: CAC, LTV, payback и когорты → Volta Neobank — Product Analytics weight: 1 Explicit link Юнит-экономика: CAC, LTV, payback и когорты → LTV weight: 1 Explicit link Юнит-экономика: CAC, LTV, payback и когорты → CAC and unit economics weight: 1 Explicit link User Journey / Path Analysis: где теряется пользователь → Первая транзакция: как измерить активацию финтех-продукта weight: 1 Explicit link User Journey / Path Analysis: где теряется пользователь → Why the aggregate lies: cohort retention triangles weight: 1 Explicit link User Journey / Path Analysis: где теряется пользователь → Funnel weight: 1 Explicit link Кейс Volta: воронка, A/B и retention на синтетике необанка → Volta Neobank — Product Analytics weight: 1 Explicit link Кейс Volta: воронка, A/B и retention на синтетике необанка → Когортный анализ удержания weight: 1 Explicit link Кейс Volta: воронка, A/B и retention на синтетике необанка → Calibrating A/B methods with simulation: how to verify a method before production weight: 1 Explicit link Кейс Volta: воронка, A/B и retention на синтетике необанка → Почему мы перешли на байесовское A/B-тестирование weight: 1 Explicit link A/A test → Sample Ratio Mismatch (SRM) weight: 1 Explicit link A/A test → p-value weight: 1 Explicit link A/A test → CUPED weight: 1 Explicit link A/A test → A/B Testing Methodology Toolkit weight: 1 Explicit link A/B test → p-value weight: 1 Explicit link A/B test → Statistical power weight: 1 Explicit link A/B test → A/A test weight: 1 Explicit link A/B test → Sample Ratio Mismatch (SRM) weight: 1 Explicit link A/B test → Minimum detectable effect (MDE) weight: 1 Explicit link ARPU → LTV weight: 1 Explicit link ARPU → DAU / MAU and stickiness weight: 1 Explicit link ARPU → NPS weight: 1 Explicit link ARPU → RFM Analysis of Bank Clients weight: 1 Explicit link Bootstrap → p-value weight: 1 Explicit link Bootstrap → Uplift modelling weight: 1 Explicit link Bootstrap → Causal / Uplift — CUPED and Individual Treatment Effects weight: 1 Explicit link CAC and unit economics → LTV weight: 1 Explicit link CAC and unit economics → ARPU weight: 1 Explicit link CAC and unit economics → Churn weight: 1 Explicit link CAC and unit economics → RFM segmentation weight: 1 Explicit link Churn → Retention weight: 1 Explicit link Churn → LTV weight: 1 Explicit link Churn → Uplift modelling weight: 1 Explicit link Churn → RFM segmentation weight: 1 Explicit link Churn → Churn Prediction — Leakage-Free Retention Model weight: 1 Explicit link Cohort → Retention weight: 1 Explicit link Cohort → Retention curve weight: 1 Explicit link Cohort → Segmentation weight: 1 Explicit link Cohort → Time to convert weight: 1 Explicit link Cohort → Cohort Analysis Dashboard weight: 1 Explicit link Confidence interval → p-value weight: 1 Explicit link Confidence interval → Bootstrap weight: 1 Explicit link Confidence interval → Minimum detectable effect (MDE) weight: 1 Explicit link Confidence interval → A/B test weight: 1 Explicit link Correlation and causation → Uplift modelling weight: 1 Explicit link Correlation and causation → CUPED weight: 1 Explicit link Correlation and causation → Bootstrap weight: 1 Explicit link Correlation and causation → A/B test weight: 1 Explicit link CUPED → Sample Ratio Mismatch (SRM) weight: 1 Explicit link CUPED → p-value weight: 1 Explicit link CUPED → Statistical power weight: 1 Explicit link CUPED → Minimum detectable effect (MDE) weight: 1 Explicit link CUPED → Causal / Uplift — CUPED and Individual Treatment Effects weight: 1 Explicit link DAU / MAU and stickiness → Retention weight: 1 Explicit link DAU / MAU and stickiness → North Star metric weight: 1 Explicit link DAU / MAU and stickiness → Retention curve weight: 1 Explicit link DAU / MAU and stickiness → TaskFlow — PostHog Product Analytics Pipeline weight: 1 Explicit link Funnel → North Star metric weight: 1 Explicit link Funnel → Retention weight: 1 Explicit link Funnel → Time to convert weight: 1 Explicit link Funnel → Sales Calls Analytics Dashboard weight: 1 Explicit link Guardrail metric → North Star metric weight: 1 Explicit link Guardrail metric → A/B test weight: 1 Explicit link Guardrail metric → Sample Ratio Mismatch (SRM) weight: 1 Explicit link LTV → Retention weight: 1 Explicit link LTV → Segmentation weight: 1 Explicit link LTV → RFM Analysis of Bank Clients weight: 1 Explicit link Minimum detectable effect (MDE) → Statistical power weight: 1 Explicit link Minimum detectable effect (MDE) → p-value weight: 1 Explicit link Minimum detectable effect (MDE) → Sample Ratio Mismatch (SRM) weight: 1 Explicit link Minimum detectable effect (MDE) → A/B Testing Methodology Toolkit weight: 1 Explicit link North Star metric → Retention weight: 1 Explicit link North Star metric → ARPU weight: 1 Explicit link North Star metric → TaskFlow — PostHog Product Analytics Pipeline weight: 1 Explicit link NPS → Retention weight: 1 Explicit link NPS → Churn weight: 1 Explicit link NPS → Sales Calls Analytics Dashboard weight: 1 Explicit link p-value → Statistical power weight: 1 Explicit link p-value → Sample Ratio Mismatch (SRM) weight: 1 Explicit link p-value → A/B Testing Methodology Toolkit weight: 1 Explicit link Retention → Retention curve weight: 1 Explicit link Retention → Cohort Analysis Dashboard weight: 1 Explicit link Retention curve → Churn weight: 1 Explicit link Retention curve → Cohort Analysis Dashboard weight: 1 Explicit link RFM segmentation → Segmentation weight: 1 Explicit link RFM segmentation → LTV weight: 1 Explicit link RFM segmentation → RFM Analysis of Bank Clients weight: 1 Explicit link Sample size → Statistical power weight: 1 Explicit link Sample size → Minimum detectable effect (MDE) weight: 1 Explicit link Sample size → A/B test weight: 1 Explicit link Sample size → Bootstrap weight: 1 Explicit link Segmentation → Churn weight: 1 Explicit link Segmentation → RFM Analysis of Bank Clients weight: 1 Explicit link Sample Ratio Mismatch (SRM) → A/B Testing Methodology Toolkit weight: 1 Explicit link Statistical power → A/A test weight: 1 Explicit link Statistical power → A/B Testing Methodology Toolkit weight: 1 Explicit link Time to convert → Retention weight: 1 Explicit link Time to convert → Cohort Analysis Dashboard weight: 1 Explicit link Uplift modelling → CUPED weight: 1 Explicit link Uplift modelling → Minimum detectable effect (MDE) weight: 1 Explicit link Uplift modelling → Causal / Uplift — CUPED and Individual Treatment Effects weight: 1 Hub Projects → A/B Testing Methodology Toolkit weight: 1 Hub Projects → Airflow DAG Platform weight: 1 Hub Projects → Data Analyst Telegram Bot weight: 1 Hub Projects → Causal / Uplift — CUPED and Individual Treatment Effects weight: 1 Hub Projects → Churn Prediction — Leakage-Free Retention Model weight: 1 Hub Projects → ClickHouse — ten SQL cases on 50M rows weight: 1 Hub Projects → Cohort Analysis Dashboard weight: 1 Hub Projects → CRM Experiment Lab — Segment-Stage Randomization, GCG and Net Effect weight: 1 Hub Projects → Delivery Control Tower weight: 1 Hub Projects → Browser Mini-Games — Analytics Arcade weight: 1 Hub Projects → Digital Garden — EQ in IT weight: 1 Hub Projects → GMV Drop RCA — root cause on real data weight: 1 Hub Projects → LinkedIn Content Analytics weight: 1 Hub Projects → Classifieds liquidity — a measurability audit weight: 1 Hub Projects → ML Fundamentals — scikit-learn Pipeline weight: 1 Hub Projects → Matemarketing 2026 Programme — a static replica weight: 1 Hub Projects → OSS catalog — 47 projects from one source weight: 1 Hub Projects → TaskFlow — PostHog Product Analytics Pipeline weight: 1 Hub Projects → Product A/B & Funnel Analytics — Conversion versus Retention weight: 1 Hub Projects → Promo Margin Lab — what a promo rouble actually earns weight: 1 Hub Projects → Python Analytics Playground weight: 1 Hub Projects → RAG Evaluation Harness — retrieval and generation metrics weight: 1 Hub Projects → RFM Analysis of Bank Clients weight: 1 Hub Projects → Sales Calls Analytics Dashboard weight: 1 Hub Projects → Scrolly English Speaking weight: 1 Hub Projects → SERP Rank Lab weight: 1 Hub Projects → This Portfolio Site weight: 1 Hub Projects → SQL Analytics Case Study weight: 1 Hub Projects → Product Analytics Dashboard (Streamlit) weight: 1 Hub Projects → Product Analytics + A/B on Supabase weight: 1 Hub Projects → Volta Neobank — Product Analytics weight: 1 Hub Articles → Calibrating A/B methods with simulation: how to verify a method before production weight: 1 Hub Articles → Кейсы с собеседований: как диагностировать просадку метрики weight: 1 Hub Articles → Проактивность аналитика за рамками роли weight: 1 Hub Articles → Почему мы перешли на байесовское A/B-тестирование weight: 1 Hub Articles → Churn + uplift: кому дать скидку (причинный таргетинг) weight: 1 Hub Articles → Когортный анализ удержания weight: 1 Hub Articles → Why the aggregate lies: cohort retention triangles weight: 1 Hub Articles → Дашборды, которые не врут: принципы продуктовой визуализации weight: 1 Hub Articles → Чек-лист портфолио дата-аналитика weight: 1 Hub Articles → EDA-шаблон с кодом: разведочный анализ по-продуктовому weight: 1 Hub Articles → Feature Impact: как измерить влияние фичи, когда A/B невозможен weight: 1 Hub Articles → Первая транзакция: как измерить активацию финтех-продукта weight: 1 Hub Articles → GitHub Actions для аналитика: автоматизация без очереди к разработке weight: 1 Hub Articles → North Star и конфликты метрик: почему одна метрика ломает продукт weight: 1 Hub Articles → Платёжные отказы: как вернуть потерянный revenue weight: 1 Hub Articles → Продакт × аналитик: три кейса коллаборации weight: 1 Hub Articles → Воспроизводимые пайплайны данных: от seed до CI weight: 1 Hub Articles → RFM-сегментация клиентов weight: 1 Hub Articles → Оконные функции: gaps-and-islands, топ-N, range-join для stickiness weight: 1 Hub Articles → Streamlit-дашборд за выходные: прототип без BI-системы weight: 1 Hub Articles → Автоматизация недельных отчётов через Telegram-бота weight: 1 Hub Articles → Юнит-экономика: CAC, LTV, payback и когорты weight: 1 Hub Articles → User Journey / Path Analysis: где теряется пользователь weight: 1 Hub Articles → Кейс Volta: воронка, A/B и retention на синтетике необанка weight: 1 Hub Glossary → A/A test weight: 1 Hub Glossary → A/B test weight: 1 Hub Glossary → ARPU weight: 1 Hub Glossary → Bootstrap weight: 1 Hub Glossary → CAC and unit economics weight: 1 Hub Glossary → Churn weight: 1 Hub Glossary → Cohort weight: 1 Hub Glossary → Confidence interval weight: 1 Hub Glossary → Correlation and causation weight: 1 Hub Glossary → CUPED weight: 1 Hub Glossary → DAU / MAU and stickiness weight: 1 Hub Glossary → Funnel weight: 1 Hub Glossary → Guardrail metric weight: 1 Hub Glossary → LTV weight: 1 Hub Glossary → Minimum detectable effect (MDE) weight: 1 Hub Glossary → North Star metric weight: 1 Hub Glossary → NPS weight: 1 Hub Glossary → p-value weight: 1 Hub Glossary → Retention weight: 1 Hub Glossary → Retention curve weight: 1 Hub Glossary → RFM segmentation weight: 1 Hub Glossary → Sample size weight: 1 Hub Glossary → Segmentation weight: 1 Hub Glossary → Sample Ratio Mismatch (SRM) weight: 1 Hub Glossary → Statistical power weight: 1 Hub Glossary → Time to convert weight: 1 Hub Glossary → Uplift modelling weight: 1 Hub Nikita Boyarkin → Projects weight: 1 Hub Nikita Boyarkin → Articles weight: 1 Hub Nikita Boyarkin → Glossary weight: 1 Thematic link Calibrating A/B methods with simulation: how to verify a method before production → python weight: 0.6 Thematic link Calibrating A/B methods with simulation: how to verify a method before production → ab-testing weight: 0.6 Thematic link Кейсы с собеседований: как диагностировать просадку метрики → sql weight: 0.6 Thematic link Кейсы с собеседований: как диагностировать просадку метрики → career weight: 0.6 Thematic link Проактивность аналитика за рамками роли → career weight: 0.6 Thematic link Почему мы перешли на байесовское A/B-тестирование → ab-testing weight: 0.6 Thematic link Churn + uplift: кому дать скидку (причинный таргетинг) → retention weight: 0.6 Thematic link Churn + uplift: кому дать скидку (причинный таргетинг) → causal-inference weight: 0.6 Thematic link Когортный анализ удержания → python weight: 0.6 Thematic link Когортный анализ удержания → retention weight: 0.6 Thematic link Why the aggregate lies: cohort retention triangles → python weight: 0.6 Thematic link Why the aggregate lies: cohort retention triangles → retention weight: 0.6 Thematic link Дашборды, которые не врут: принципы продуктовой визуализации → python weight: 0.6 Thematic link Чек-лист портфолио дата-аналитика → career weight: 0.6 Thematic link EDA-шаблон с кодом: разведочный анализ по-продуктовому → python weight: 0.6 Thematic link Feature Impact: как измерить влияние фичи, когда A/B невозможен → ab-testing weight: 0.6 Thematic link Feature Impact: как измерить влияние фичи, когда A/B невозможен → causal-inference weight: 0.6 Thematic link Первая транзакция: как измерить активацию финтех-продукта → retention weight: 0.6 Thematic link GitHub Actions для аналитика: автоматизация без очереди к разработке → python weight: 0.6 Thematic link GitHub Actions для аналитика: автоматизация без очереди к разработке → automation weight: 0.6 Thematic link North Star и конфликты метрик: почему одна метрика ломает продукт → metric-design weight: 0.6 Thematic link Платёжные отказы: как вернуть потерянный revenue → retention weight: 0.6 Thematic link Продакт × аналитик: три кейса коллаборации → career weight: 0.6 Thematic link Воспроизводимые пайплайны данных: от seed до CI → sql weight: 0.6 Thematic link Воспроизводимые пайплайны данных: от seed до CI → python weight: 0.6 Thematic link RFM-сегментация клиентов → sql weight: 0.6 Thematic link RFM-сегментация клиентов → segmentation weight: 0.6 Thematic link Оконные функции: gaps-and-islands, топ-N, range-join для stickiness → sql weight: 0.6 Thematic link Streamlit-дашборд за выходные: прототип без BI-системы → python weight: 0.6 Thematic link Автоматизация недельных отчётов через Telegram-бота → python weight: 0.6 Thematic link Автоматизация недельных отчётов через Telegram-бота → automation weight: 0.6 Thematic link Кейс Volta: воронка, A/B и retention на синтетике необанка → ab-testing weight: 0.6 Thematic link Кейс Volta: воронка, A/B и retention на синтетике необанка → retention weight: 0.6 Thematic link Кейс Volta: воронка, A/B и retention на синтетике необанка → segmentation weight: 0.6 Thematic link A/A test → ab-testing weight: 0.6 Thematic link A/B test → ab-testing weight: 0.6 Thematic link ARPU → segmentation weight: 0.6 Thematic link Bootstrap → ab-testing weight: 0.6 Thematic link CAC and unit economics → segmentation weight: 0.6 Thematic link Churn → retention weight: 0.6 Thematic link Churn → segmentation weight: 0.6 Thematic link Cohort → retention weight: 0.6 Thematic link Confidence interval → ab-testing weight: 0.6 Thematic link Correlation and causation → ab-testing weight: 0.6 Thematic link Correlation and causation → causal-inference weight: 0.6 Thematic link CUPED → ab-testing weight: 0.6 Thematic link Guardrail metric → ab-testing weight: 0.6 Thematic link LTV → segmentation weight: 0.6 Thematic link Minimum detectable effect (MDE) → ab-testing weight: 0.6 Thematic link NPS → segmentation weight: 0.6 Thematic link p-value → ab-testing weight: 0.6 Thematic link Retention → retention weight: 0.6 Thematic link Retention curve → retention weight: 0.6 Thematic link RFM segmentation → segmentation weight: 0.6 Thematic link Sample size → ab-testing weight: 0.6 Thematic link Segmentation → segmentation weight: 0.6 Thematic link Sample Ratio Mismatch (SRM) → ab-testing weight: 0.6 Thematic link Statistical power → ab-testing weight: 0.6 Thematic link Time to convert → retention weight: 0.6 Thematic link Uplift modelling → ab-testing weight: 0.6 Thematic link Churn Prediction — Leakage-Free Retention Model → retention weight: 0.3 Thematic link ClickHouse — ten SQL cases on 50M rows → sql weight: 0.3 Thematic link Cohort Analysis Dashboard → python weight: 0.3 Thematic link Cohort Analysis Dashboard → retention weight: 0.3 Thematic link Delivery Control Tower → sql weight: 0.3 Thematic link Browser Mini-Games — Analytics Arcade → retention weight: 0.3 Thematic link Product A/B & Funnel Analytics — Conversion versus Retention → retention weight: 0.3 Thematic link Python Analytics Playground → python weight: 0.3 Thematic link SQL Analytics Case Study → sql weight: 0.3 Thematic link SQL Analytics Case Study → retention weight: 0.3 Thematic link Product Analytics Dashboard (Streamlit) → retention weight: 0.3 Thematic link Product Analytics Dashboard (Streamlit) → segmentation weight: 0.3 Thematic link Volta Neobank — Product Analytics → retention weight: 0.3 Thematic link Volta Neobank — Product Analytics → segmentation weight: 0.3 Lateral link Product Analytics Dashboard (Streamlit) → Volta Neobank — Product Analytics weight: 0.7 Lateral link A/B Testing Methodology Toolkit → Airflow DAG Platform weight: 0.7 Lateral link A/B Testing Methodology Toolkit → Churn Prediction — Leakage-Free Retention Model weight: 0.7 Lateral link A/B Testing Methodology Toolkit → Python Analytics Playground weight: 0.7 Lateral link A/B Testing Methodology Toolkit → RAG Evaluation Harness — retrieval and generation metrics weight: 0.7 Lateral link Airflow DAG Platform → Causal / Uplift — CUPED and Individual Treatment Effects weight: 0.7 Lateral link Airflow DAG Platform → Churn Prediction — Leakage-Free Retention Model weight: 0.7 Lateral link Airflow DAG Platform → CRM Experiment Lab — Segment-Stage Randomization, GCG and Net Effect weight: 0.7 Lateral link Airflow DAG Platform → LinkedIn Content Analytics weight: 0.7 Lateral link Airflow DAG Platform → Product A/B & Funnel Analytics — Conversion versus Retention weight: 0.7 Lateral link Airflow DAG Platform → Promo Margin Lab — what a promo rouble actually earns weight: 0.7 Lateral link Airflow DAG Platform → Python Analytics Playground weight: 0.7 Lateral link Airflow DAG Platform → RAG Evaluation Harness — retrieval and generation metrics weight: 0.7 Lateral link Airflow DAG Platform → SERP Rank Lab weight: 0.7 Lateral link Data Analyst Telegram Bot → ML Fundamentals — scikit-learn Pipeline weight: 0.7 Lateral link Causal / Uplift — CUPED and Individual Treatment Effects → Churn Prediction — Leakage-Free Retention Model weight: 1 Lateral link Causal / Uplift — CUPED and Individual Treatment Effects → LinkedIn Content Analytics weight: 0.7 Lateral link Causal / Uplift — CUPED and Individual Treatment Effects → ML Fundamentals — scikit-learn Pipeline weight: 0.85 Lateral link Causal / Uplift — CUPED and Individual Treatment Effects → Product A/B & Funnel Analytics — Conversion versus Retention weight: 1 Lateral link Causal / Uplift — CUPED and Individual Treatment Effects → Python Analytics Playground weight: 1 Lateral link Causal / Uplift — CUPED and Individual Treatment Effects → SERP Rank Lab weight: 0.7 Lateral link Causal / Uplift — CUPED and Individual Treatment Effects → SQL Analytics Case Study weight: 0.7 Lateral link Causal / Uplift — CUPED and Individual Treatment Effects → Volta Neobank — Product Analytics weight: 0.7 Lateral link Churn Prediction — Leakage-Free Retention Model → CRM Experiment Lab — Segment-Stage Randomization, GCG and Net Effect weight: 1 Lateral link Churn Prediction — Leakage-Free Retention Model → LinkedIn Content Analytics weight: 0.7 Lateral link Churn Prediction — Leakage-Free Retention Model → Product A/B & Funnel Analytics — Conversion versus Retention weight: 1 Lateral link Churn Prediction — Leakage-Free Retention Model → Promo Margin Lab — what a promo rouble actually earns weight: 0.85 Lateral link Churn Prediction — Leakage-Free Retention Model → Python Analytics Playground weight: 1 Lateral link Churn Prediction — Leakage-Free Retention Model → RAG Evaluation Harness — retrieval and generation metrics weight: 1 Lateral link Churn Prediction — Leakage-Free Retention Model → SERP Rank Lab weight: 0.7 Lateral link Churn Prediction — Leakage-Free Retention Model → SQL Analytics Case Study weight: 0.7 Lateral link Churn Prediction — Leakage-Free Retention Model → Volta Neobank — Product Analytics weight: 0.7 Lateral link ClickHouse — ten SQL cases on 50M rows → GMV Drop RCA — root cause on real data weight: 0.85 Lateral link ClickHouse — ten SQL cases on 50M rows → Classifieds liquidity — a measurability audit weight: 0.85 Lateral link ClickHouse — ten SQL cases on 50M rows → Product A/B & Funnel Analytics — Conversion versus Retention weight: 0.7 Lateral link ClickHouse — ten SQL cases on 50M rows → SERP Rank Lab weight: 0.7 Lateral link CRM Experiment Lab — Segment-Stage Randomization, GCG and Net Effect → LinkedIn Content Analytics weight: 0.7 Lateral link CRM Experiment Lab — Segment-Stage Randomization, GCG and Net Effect → Classifieds liquidity — a measurability audit weight: 0.7 Lateral link CRM Experiment Lab — Segment-Stage Randomization, GCG and Net Effect → ML Fundamentals — scikit-learn Pipeline weight: 0.7 Lateral link CRM Experiment Lab — Segment-Stage Randomization, GCG and Net Effect → Product A/B & Funnel Analytics — Conversion versus Retention weight: 1 Lateral link CRM Experiment Lab — Segment-Stage Randomization, GCG and Net Effect → Promo Margin Lab — what a promo rouble actually earns weight: 0.7 Lateral link CRM Experiment Lab — Segment-Stage Randomization, GCG and Net Effect → Python Analytics Playground weight: 1 Lateral link CRM Experiment Lab — Segment-Stage Randomization, GCG and Net Effect → RAG Evaluation Harness — retrieval and generation metrics weight: 0.85 Lateral link CRM Experiment Lab — Segment-Stage Randomization, GCG and Net Effect → SERP Rank Lab weight: 0.7 Lateral link CRM Experiment Lab — Segment-Stage Randomization, GCG and Net Effect → SQL Analytics Case Study weight: 0.7 Lateral link GMV Drop RCA — root cause on real data → ML Fundamentals — scikit-learn Pipeline weight: 0.7 Lateral link GMV Drop RCA — root cause on real data → Product A/B & Funnel Analytics — Conversion versus Retention weight: 0.7 Lateral link GMV Drop RCA — root cause on real data → Promo Margin Lab — what a promo rouble actually earns weight: 0.7 Lateral link GMV Drop RCA — root cause on real data → SERP Rank Lab weight: 0.7 Lateral link LinkedIn Content Analytics → Product A/B & Funnel Analytics — Conversion versus Retention weight: 0.7 Lateral link LinkedIn Content Analytics → Promo Margin Lab — what a promo rouble actually earns weight: 0.7 Lateral link LinkedIn Content Analytics → Python Analytics Playground weight: 0.7 Lateral link LinkedIn Content Analytics → RAG Evaluation Harness — retrieval and generation metrics weight: 0.7 Lateral link LinkedIn Content Analytics → SERP Rank Lab weight: 0.7 Lateral link Classifieds liquidity — a measurability audit → ML Fundamentals — scikit-learn Pipeline weight: 0.7 Lateral link Classifieds liquidity — a measurability audit → Product A/B & Funnel Analytics — Conversion versus Retention weight: 0.85 Lateral link Classifieds liquidity — a measurability audit → Promo Margin Lab — what a promo rouble actually earns weight: 0.7 Lateral link Classifieds liquidity — a measurability audit → SQL Analytics Case Study weight: 0.7 Lateral link ML Fundamentals — scikit-learn Pipeline → Product A/B & Funnel Analytics — Conversion versus Retention weight: 0.7 Lateral link ML Fundamentals — scikit-learn Pipeline → Promo Margin Lab — what a promo rouble actually earns weight: 0.85 Lateral link OSS catalog — 47 projects from one source → Scrolly English Speaking weight: 0.7 Lateral link Product A/B & Funnel Analytics — Conversion versus Retention → Promo Margin Lab — what a promo rouble actually earns weight: 0.7 Lateral link Product A/B & Funnel Analytics — Conversion versus Retention → Python Analytics Playground weight: 1 Lateral link Product A/B & Funnel Analytics — Conversion versus Retention → RAG Evaluation Harness — retrieval and generation metrics weight: 0.85 Lateral link Product A/B & Funnel Analytics — Conversion versus Retention → SERP Rank Lab weight: 0.85 Lateral link Product A/B & Funnel Analytics — Conversion versus Retention → SQL Analytics Case Study weight: 0.85 Lateral link Promo Margin Lab — what a promo rouble actually earns → Python Analytics Playground weight: 0.7 Lateral link Promo Margin Lab — what a promo rouble actually earns → RAG Evaluation Harness — retrieval and generation metrics weight: 0.85 Lateral link Python Analytics Playground → SERP Rank Lab weight: 0.7 Lateral link Python Analytics Playground → SQL Analytics Case Study weight: 0.7 Lateral link RAG Evaluation Harness — retrieval and generation metrics → SERP Rank Lab weight: 0.7 Lateral link RAG Evaluation Harness — retrieval and generation metrics → SQL Analytics Case Study weight: 0.7 Lateral link RAG Evaluation Harness — retrieval and generation metrics → Volta Neobank — Product Analytics weight: 0.7 Lateral link SERP Rank Lab → SQL Analytics Case Study weight: 0.7 Lateral link Проактивность аналитика за рамками роли → Продакт × аналитик: три кейса коллаборации weight: 0.7 Lateral link Churn + uplift: кому дать скидку (причинный таргетинг) → Платёжные отказы: как вернуть потерянный revenue weight: 0.7 Lateral link Когортный анализ удержания → EDA-шаблон с кодом: разведочный анализ по-продуктовому weight: 0.7 Lateral link Когортный анализ удержания → Первая транзакция: как измерить активацию финтех-продукта weight: 0.7 Lateral link Why the aggregate lies: cohort retention triangles → EDA-шаблон с кодом: разведочный анализ по-продуктовому weight: 0.7 Lateral link Feature Impact: как измерить влияние фичи, когда A/B невозможен → Кейс Volta: воронка, A/B и retention на синтетике необанка weight: 0.7 Nikita Boyarkin Hub · Group / category: root Community: Core 3 links Nikita Boyarkin Projects Hub · Group / category: projects Community: Projects 32 links Projects Articles Hub · Group / category: articles Community: Articles 25 links Articles Glossary Hub · Group / category: glossary Community: Glossary 28 links Glossary A/B Testing Methodology Toolkit Project · Group / category: experiments Community: Experiments & Volta loop 24 links A/B Testing Methodology Toolkit Airflow DAG Platform Project · Group / category: engineering Community: Automation 16 links Airflow DAG Platform Data Analyst Telegram Bot Project · Group / category: experiments Community: Automation 4 links Data Analyst Telegram Bot Causal / Uplift — CUPED and Individual Treatment Effects Project · Group / category: experiments Community: Experiments & Volta loop 19 links Causal / Uplift — CUPED and Individual Treatment Effects Churn Prediction — Leakage-Free Retention Model Project · Group / category: analytics Community: Experiments & Volta loop 18 links Churn Prediction — Leakage-Free Retention Model ClickHouse — ten SQL cases on 50M rows Project · Group / category: engineering Community: Automation 8 links ClickHouse — ten SQL cases on 50M rows Cohort Analysis Dashboard Project · Group / category: analytics Community: #6 12 links Cohort Analysis Dashboard CRM Experiment Lab — Segment-Stage Randomization, GCG and Net Effect Project · Group / category: experiments Community: Experiments & Volta loop 14 links CRM Experiment Lab — Segment-Stage Randomization, GCG and Net Effect Delivery Control Tower Project · Group / category: analytics Community: Automation 6 links Delivery Control Tower Browser Mini-Games — Analytics Arcade Project · Group / category: experiments Community: Portfolio & site 8 links Browser Mini-Games — Analytics Arcade Digital Garden — EQ in IT Project · Group / category: engineering Community: Portfolio & site 4 links Digital Garden — EQ in IT GMV Drop RCA — root cause on real data Project · Group / category: analytics Community: #8 9 links GMV Drop RCA — root cause on real data LinkedIn Content Analytics Project · Group / category: analytics Community: #6 14 links LinkedIn Content Analytics Classifieds liquidity — a measurability audit Project · Group / category: analytics Community: #8 10 links Classifieds liquidity — a measurability audit ML Fundamentals — scikit-learn Pipeline Project · Group / category: analytics Community: Automation 12 links ML Fundamentals — scikit-learn Pipeline Matemarketing 2026 Programme — a static replica Project · Group / category: engineering Community: Portfolio & site 2 links Matemarketing 2026 Programme — a static replica OSS catalog — 47 projects from one source Project · Group / category: engineering Community: Portfolio & site 4 links OSS catalog — 47 projects from one source TaskFlow — PostHog Product Analytics Pipeline Project · Group / category: product Community: #6 7 links TaskFlow — PostHog Product Analytics Pipeline Product A/B & Funnel Analytics — Conversion versus Retention Project · Group / category: analytics Community: Experiments & Volta loop 20 links Product A/B & Funnel Analytics — Conversion versus Retention Promo Margin Lab — what a promo rouble actually earns Project · Group / category: analytics Community: Experiments & Volta loop 16 links Promo Margin Lab — what a promo rouble actually earns Python Analytics Playground Project · Group / category: analytics Community: Automation 17 links Python Analytics Playground RAG Evaluation Harness — retrieval and generation metrics Project · Group / category: analytics Community: Automation 14 links RAG Evaluation Harness — retrieval and generation metrics RFM Analysis of Bank Clients Project · Group / category: analytics Community: #6 8 links RFM Analysis of Bank Clients Sales Calls Analytics Dashboard Project · Group / category: analytics Community: #6 6 links Sales Calls Analytics Dashboard Scrolly English Speaking Project · Group / category: engineering Community: Portfolio & site 5 links Scrolly English Speaking SERP Rank Lab Project · Group / category: analytics Community: Experiments & Volta loop 17 links SERP Rank Lab This Portfolio Site Project · Group / category: engineering Community: Portfolio & site 7 links This Portfolio Site SQL Analytics Case Study Project · Group / category: analytics Community: Automation 21 links SQL Analytics Case Study Product Analytics Dashboard (Streamlit) Project · Group / category: product Community: #6 10 links Product Analytics Dashboard (Streamlit) Product Analytics + A/B on Supabase Project · Group / category: product Community: #6 5 links Product Analytics + A/B on Supabase Volta Neobank — Product Analytics Project · Group / category: experiments Community: Experiments & Volta loop 46 links Volta Neobank — Product Analytics Calibrating A/B methods with simulation: how to verify a method before production Post · Group / category: guide Community: Experiments & Volta loop 9 links Calibrating A/B methods with simulation: how to verify a method before production Кейсы с собеседований: как диагностировать просадку метрики Post · Group / category: decision-log Community: #8 7 links Кейсы с собеседований: как диагностировать просадку метрики Проактивность аналитика за рамками роли Post · Group / category: note Community: #8 7 links Проактивность аналитика за рамками роли Почему мы перешли на байесовское A/B-тестирование Post · Group / category: decision-log Community: Experiments & Volta loop 11 links Почему мы перешли на байесовское A/B-тестирование Churn + uplift: кому дать скидку (причинный таргетинг) Post · Group / category: guide Community: Experiments & Volta loop 10 links Churn + uplift: кому дать скидку (причинный таргетинг) Когортный анализ удержания Post · Group / category: guide Community: Experiments & Volta loop 16 links Когортный анализ удержания Why the aggregate lies: cohort retention triangles Post · Group / category: guide Community: Experiments & Volta loop 14 links Why the aggregate lies: cohort retention triangles Дашборды, которые не врут: принципы продуктовой визуализации Post · Group / category: guide Community: #6 8 links Дашборды, которые не врут: принципы продуктовой визуализации Чек-лист портфолио дата-аналитика Post · Group / category: note Community: #8 9 links Чек-лист портфолио дата-аналитика EDA-шаблон с кодом: разведочный анализ по-продуктовому Post · Group / category: guide Community: Automation 8 links EDA-шаблон с кодом: разведочный анализ по-продуктовому Feature Impact: как измерить влияние фичи, когда A/B невозможен Post · Group / category: guide Community: Experiments & Volta loop 8 links Feature Impact: как измерить влияние фичи, когда A/B невозможен Первая транзакция: как измерить активацию финтех-продукта Post · Group / category: decision-log Community: Experiments & Volta loop 7 links Первая транзакция: как измерить активацию финтех-продукта GitHub Actions для аналитика: автоматизация без очереди к разработке Post · Group / category: guide Community: Automation 7 links GitHub Actions для аналитика: автоматизация без очереди к разработке North Star и конфликты метрик: почему одна метрика ломает продукт Post · Group / category: framework Community: #6 7 links North Star и конфликты метрик: почему одна метрика ломает продукт Платёжные отказы: как вернуть потерянный revenue Post · Group / category: decision-log Community: Experiments & Volta loop 8 links Платёжные отказы: как вернуть потерянный revenue Продакт × аналитик: три кейса коллаборации Post · Group / category: decision-log Community: #8 7 links Продакт × аналитик: три кейса коллаборации Воспроизводимые пайплайны данных: от seed до CI Post · Group / category: guide Community: Automation 11 links Воспроизводимые пайплайны данных: от seed до CI RFM-сегментация клиентов Post · Group / category: framework Community: Experiments & Volta loop 9 links RFM-сегментация клиентов Оконные функции: gaps-and-islands, топ-N, range-join для stickiness Post · Group / category: guide Community: Automation 5 links Оконные функции: gaps-and-islands, топ-N, range-join для stickiness Streamlit-дашборд за выходные: прототип без BI-системы Post · Group / category: guide Community: #6 6 links Streamlit-дашборд за выходные: прототип без BI-системы Автоматизация недельных отчётов через Telegram-бота Post · Group / category: decision-log Community: Automation 11 links Автоматизация недельных отчётов через Telegram-бота Юнит-экономика: CAC, LTV, payback и когорты Post · Group / category: guide Community: Experiments & Volta loop 7 links Юнит-экономика: CAC, LTV, payback и когорты User Journey / Path Analysis: где теряется пользователь Post · Group / category: guide Community: Experiments & Volta loop 5 links User Journey / Path Analysis: где теряется пользователь Кейс Volta: воронка, A/B и retention на синтетике необанка Post · Group / category: decision-log Community: Experiments & Volta loop 11 links Кейс Volta: воронка, A/B и retention на синтетике необанка Volta — KYC Progress-Bar A/B Test Volta module · Group / category: experiments Community: Experiments & Volta loop 1 links Volta — KYC Progress-Bar A/B Test Volta — Anchor Launch CAC at Scale Volta module · Group / category: experiments Community: Experiments & Volta loop 1 links Volta — Anchor Launch CAC at Scale Volta — Anomaly Detection Volta module · Group / category: experiments Community: Experiments & Volta loop 1 links Volta — Anomaly Detection Volta — Assisted CAC vs LTV Volta module · Group / category: experiments Community: Experiments & Volta loop 1 links Volta — Assisted CAC vs LTV Volta — Marketing Attribution Volta module · Group / category: experiments Community: Experiments & Volta loop 1 links Volta — Marketing Attribution Volta — Causal Validation of KYC (DiD) Volta module · Group / category: experiments Community: Experiments & Volta loop 1 links Volta — Causal Validation of KYC (DiD) Volta — Churn Prediction Volta module · Group / category: experiments Community: Experiments & Volta loop 1 links Volta — Churn Prediction Volta — CLV Modeling Volta module · Group / category: experiments Community: Experiments & Volta loop 1 links Volta — CLV Modeling Volta — Dormant 45+ Win-back Volta module · Group / category: experiments Community: Experiments & Volta loop 1 links Volta — Dormant 45+ Win-back Volta — Funnel Analysis Volta module · Group / category: experiments Community: Experiments & Volta loop 1 links Volta — Funnel Analysis Volta — FX Sourcing Feasibility Volta module · Group / category: experiments Community: Experiments & Volta loop 1 links Volta — FX Sourcing Feasibility Volta — JTBD × Cohorts Volta module · Group / category: experiments Community: Experiments & Volta loop 1 links Volta — JTBD × Cohorts Volta — 45+ KYC Deep-Dive Volta module · Group / category: experiments Community: Experiments & Volta loop 1 links Volta — 45+ KYC Deep-Dive Volta — NPS Trends Volta module · Group / category: experiments Community: Experiments & Volta loop 1 links Volta — NPS Trends Volta — Segment Premium Offers Volta module · Group / category: experiments Community: Experiments & Volta loop 1 links Volta — Segment Premium Offers Volta — Premium Upsell Volta module · Group / category: experiments Community: Experiments & Volta loop 1 links Volta — Premium Upsell Volta — Referral Segments Volta module · Group / category: experiments Community: Experiments & Volta loop 1 links Volta — Referral Segments Volta — Retention & Cohorts Volta module · Group / category: experiments Community: Experiments & Volta loop 1 links Volta — Retention & Cohorts Volta — RFM Analysis Volta module · Group / category: experiments Community: Experiments & Volta loop 1 links Volta — RFM Analysis Volta — User Segmentation Volta module · Group / category: experiments Community: Experiments & Volta loop 1 links Volta — User Segmentation Volta — Spend Analysis Volta module · Group / category: experiments Community: Experiments & Volta loop 1 links Volta — Spend Analysis Volta — Support & Churn Volta module · Group / category: experiments Community: Experiments & Volta loop 1 links Volta — Support & Churn Volta — Traveler Unit Economics Volta module · Group / category: experiments Community: Experiments & Volta loop 1 links Volta — Traveler Unit Economics A/A test Glossary term · Group / category: glossary Community: #9 8 links A/A test A/B test Glossary term · Group / category: glossary Community: #9 11 links A/B test ARPU Glossary term · Group / category: glossary Community: #6 8 links ARPU Bootstrap Glossary term · Group / category: glossary Community: #9 9 links Bootstrap CAC and unit economics Glossary term · Group / category: glossary Community: #6 7 links CAC and unit economics Churn Glossary term · Group / category: glossary Community: #6 13 links Churn Cohort Glossary term · Group / category: glossary Community: #6 7 links Cohort Confidence interval Glossary term · Group / category: glossary Community: #9 7 links Confidence interval Correlation and causation Glossary term · Group / category: glossary Community: #9 8 links Correlation and causation CUPED Glossary term · Group / category: glossary Community: #9 10 links CUPED DAU / MAU and stickiness Glossary term · Group / category: glossary Community: #6 6 links DAU / MAU and stickiness Funnel Glossary term · Group / category: glossary Community: #6 6 links Funnel Guardrail metric Glossary term · Group / category: glossary Community: #6 6 links Guardrail metric LTV Glossary term · Group / category: glossary Community: #6 10 links LTV Minimum detectable effect (MDE) Glossary term · Group / category: glossary Community: #9 11 links Minimum detectable effect (MDE) North Star metric Glossary term · Group / category: glossary Community: #6 8 links North Star metric NPS Glossary term · Group / category: glossary Community: #6 6 links NPS p-value Glossary term · Group / category: glossary Community: #9 11 links p-value Retention Glossary term · Group / category: glossary Community: #6 12 links Retention Retention curve Glossary term · Group / category: glossary Community: #6 7 links Retention curve RFM segmentation Glossary term · Group / category: glossary Community: #6 7 links RFM segmentation Sample size Glossary term · Group / category: glossary Community: #9 7 links Sample size Segmentation Glossary term · Group / category: glossary Community: #6 7 links Segmentation Sample Ratio Mismatch (SRM) Glossary term · Group / category: glossary Community: #9 9 links Sample Ratio Mismatch (SRM) Statistical power Glossary term · Group / category: glossary Community: #9 9 links Statistical power Time to convert Glossary term · Group / category: glossary Community: #6 6 links Time to convert Uplift modelling Glossary term · Group / category: glossary Community: #9 8 links Uplift modelling sql Topic · Group / category: topic Community: Automation 7 links sql python Topic · Group / category: topic Community: Automation 11 links python ab-testing Topic · Group / category: topic Community: #9 17 links ab-testing retention Topic · Group / category: topic Community: Experiments & Volta loop 18 links retention segmentation Topic · Group / category: topic Community: #6 11 links segmentation automation Topic · Group / category: topic Community: Automation 2 links automation career Topic · Group / category: topic Community: #8 4 links career causal-inference Topic · Group / category: topic Community: Experiments & Volta loop 3 links causal-inference metric-design Topic · Group / category: topic Community: #6 1 links metric-design

Interactive knowledge graph: 118 nodes and 500 links between portfolio pages. Each node is keyboard-focusable; press Enter or Space to open its page. A full list of nodes and their links follows the graphic.

  • Nikita Boyarkin: Projects (Hubs), Articles (Hubs), Glossary (Hubs)
  • Projects: A/B Testing Methodology Toolkit (Hubs), Airflow DAG Platform (Hubs), Data Analyst Telegram Bot (Hubs), Causal / Uplift — CUPED and Individual Treatment Effects (Hubs), Churn Prediction — Leakage-Free Retention Model (Hubs), ClickHouse — ten SQL cases on 50M rows (Hubs), Cohort Analysis Dashboard (Hubs), CRM Experiment Lab — Segment-Stage Randomization, GCG and Net Effect (Hubs), Delivery Control Tower (Hubs), Browser Mini-Games — Analytics Arcade (Hubs), Digital Garden — EQ in IT (Hubs), GMV Drop RCA — root cause on real data (Hubs), LinkedIn Content Analytics (Hubs), Classifieds liquidity — a measurability audit (Hubs), ML Fundamentals — scikit-learn Pipeline (Hubs), Matemarketing 2026 Programme — a static replica (Hubs), OSS catalog — 47 projects from one source (Hubs), TaskFlow — PostHog Product Analytics Pipeline (Hubs), Product A/B & Funnel Analytics — Conversion versus Retention (Hubs), Promo Margin Lab — what a promo rouble actually earns (Hubs), Python Analytics Playground (Hubs), RAG Evaluation Harness — retrieval and generation metrics (Hubs), RFM Analysis of Bank Clients (Hubs), Sales Calls Analytics Dashboard (Hubs), Scrolly English Speaking (Hubs), SERP Rank Lab (Hubs), This Portfolio Site (Hubs), SQL Analytics Case Study (Hubs), Product Analytics Dashboard (Streamlit) (Hubs), Product Analytics + A/B on Supabase (Hubs), Volta Neobank — Product Analytics (Hubs), Nikita Boyarkin (Hubs)
  • Articles: Calibrating A/B methods with simulation: how to verify a method before production (Hubs), Кейсы с собеседований: как диагностировать просадку метрики (Hubs), Проактивность аналитика за рамками роли (Hubs), Почему мы перешли на байесовское A/B-тестирование (Hubs), Churn + uplift: кому дать скидку (причинный таргетинг) (Hubs), Когортный анализ удержания (Hubs), Why the aggregate lies: cohort retention triangles (Hubs), Дашборды, которые не врут: принципы продуктовой визуализации (Hubs), Чек-лист портфолио дата-аналитика (Hubs), EDA-шаблон с кодом: разведочный анализ по-продуктовому (Hubs), Feature Impact: как измерить влияние фичи, когда A/B невозможен (Hubs), Первая транзакция: как измерить активацию финтех-продукта (Hubs), GitHub Actions для аналитика: автоматизация без очереди к разработке (Hubs), North Star и конфликты метрик: почему одна метрика ломает продукт (Hubs), Платёжные отказы: как вернуть потерянный revenue (Hubs), Продакт × аналитик: три кейса коллаборации (Hubs), Воспроизводимые пайплайны данных: от seed до CI (Hubs), RFM-сегментация клиентов (Hubs), Оконные функции: gaps-and-islands, топ-N, range-join для stickiness (Hubs), Streamlit-дашборд за выходные: прототип без BI-системы (Hubs), Автоматизация недельных отчётов через Telegram-бота (Hubs), Юнит-экономика: CAC, LTV, payback и когорты (Hubs), User Journey / Path Analysis: где теряется пользователь (Hubs), Кейс Volta: воронка, A/B и retention на синтетике необанка (Hubs), Nikita Boyarkin (Hubs)
  • Glossary: A/A test (Hubs), A/B test (Hubs), ARPU (Hubs), Bootstrap (Hubs), CAC and unit economics (Hubs), Churn (Hubs), Cohort (Hubs), Confidence interval (Hubs), Correlation and causation (Hubs), CUPED (Hubs), DAU / MAU and stickiness (Hubs), Funnel (Hubs), Guardrail metric (Hubs), LTV (Hubs), Minimum detectable effect (MDE) (Hubs), North Star metric (Hubs), NPS (Hubs), p-value (Hubs), Retention (Hubs), Retention curve (Hubs), RFM segmentation (Hubs), Sample size (Hubs), Segmentation (Hubs), Sample Ratio Mismatch (SRM) (Hubs), Statistical power (Hubs), Time to convert (Hubs), Uplift modelling (Hubs), Nikita Boyarkin (Hubs)
  • A/B Testing Methodology Toolkit: Volta Neobank — Product Analytics (Explicit), CRM Experiment Lab — Segment-Stage Randomization, GCG and Net Effect (Explicit), LinkedIn Content Analytics (Explicit), Product A/B & Funnel Analytics — Conversion versus Retention (Explicit), SERP Rank Lab (Explicit), Confidence interval (Explicit), Sample size (Explicit), Causal / Uplift — CUPED and Individual Treatment Effects (Explicit), Delivery Control Tower (Explicit), Browser Mini-Games — Analytics Arcade (Explicit), ML Fundamentals — scikit-learn Pipeline (Explicit), Promo Margin Lab — what a promo rouble actually earns (Explicit), Calibrating A/B methods with simulation: how to verify a method before production (Explicit), Почему мы перешли на байесовское A/B-тестирование (Explicit), A/A test (Explicit), Minimum detectable effect (MDE) (Explicit), p-value (Explicit), Sample Ratio Mismatch (SRM) (Explicit), Statistical power (Explicit), Projects (Hubs), Airflow DAG Platform (Lateral), Churn Prediction — Leakage-Free Retention Model (Lateral), Python Analytics Playground (Lateral), RAG Evaluation Harness — retrieval and generation metrics (Lateral)
  • Airflow DAG Platform: Volta Neobank — Product Analytics (Explicit), SQL Analytics Case Study (Explicit), Воспроизводимые пайплайны данных: от seed до CI (Explicit), GitHub Actions для аналитика: автоматизация без очереди к разработке (Explicit), ClickHouse — ten SQL cases on 50M rows (Explicit), Projects (Hubs), A/B Testing Methodology Toolkit (Lateral), Causal / Uplift — CUPED and Individual Treatment Effects (Lateral), Churn Prediction — Leakage-Free Retention Model (Lateral), CRM Experiment Lab — Segment-Stage Randomization, GCG and Net Effect (Lateral), LinkedIn Content Analytics (Lateral), Product A/B & Funnel Analytics — Conversion versus Retention (Lateral), Promo Margin Lab — what a promo rouble actually earns (Lateral), Python Analytics Playground (Lateral), RAG Evaluation Harness — retrieval and generation metrics (Lateral), SERP Rank Lab (Lateral)
  • Data Analyst Telegram Bot: Автоматизация недельных отчётов через Telegram-бота (Explicit), Python Analytics Playground (Explicit), Projects (Hubs), ML Fundamentals — scikit-learn Pipeline (Lateral)
  • Causal / Uplift — CUPED and Individual Treatment Effects: A/B Testing Methodology Toolkit (Explicit), Churn + uplift: кому дать скидку (причинный таргетинг) (Explicit), CRM Experiment Lab — Segment-Stage Randomization, GCG and Net Effect (Explicit), Promo Margin Lab — what a promo rouble actually earns (Explicit), Correlation and causation (Explicit), RAG Evaluation Harness — retrieval and generation metrics (Explicit), Bootstrap (Explicit), CUPED (Explicit), Uplift modelling (Explicit), Projects (Hubs), Airflow DAG Platform (Lateral), Churn Prediction — Leakage-Free Retention Model (Lateral), LinkedIn Content Analytics (Lateral), ML Fundamentals — scikit-learn Pipeline (Lateral), Product A/B & Funnel Analytics — Conversion versus Retention (Lateral), Python Analytics Playground (Lateral), SERP Rank Lab (Lateral), SQL Analytics Case Study (Lateral), Volta Neobank — Product Analytics (Lateral)
  • Churn Prediction — Leakage-Free Retention Model: Churn + uplift: кому дать скидку (причинный таргетинг) (Explicit), ML Fundamentals — scikit-learn Pipeline (Explicit), Платёжные отказы: как вернуть потерянный revenue (Explicit), Churn (Explicit), Projects (Hubs), retention (Thematic), A/B Testing Methodology Toolkit (Lateral), Airflow DAG Platform (Lateral), Causal / Uplift — CUPED and Individual Treatment Effects (Lateral), CRM Experiment Lab — Segment-Stage Randomization, GCG and Net Effect (Lateral), LinkedIn Content Analytics (Lateral), Product A/B & Funnel Analytics — Conversion versus Retention (Lateral), Promo Margin Lab — what a promo rouble actually earns (Lateral), Python Analytics Playground (Lateral), RAG Evaluation Harness — retrieval and generation metrics (Lateral), SERP Rank Lab (Lateral), SQL Analytics Case Study (Lateral), Volta Neobank — Product Analytics (Lateral)
  • ClickHouse — ten SQL cases on 50M rows: SQL Analytics Case Study (Explicit), Airflow DAG Platform (Explicit), Projects (Hubs), sql (Thematic), GMV Drop RCA — root cause on real data (Lateral), Classifieds liquidity — a measurability audit (Lateral), Product A/B & Funnel Analytics — Conversion versus Retention (Lateral), SERP Rank Lab (Lateral)
  • Cohort Analysis Dashboard: Когортный анализ удержания (Explicit), Delivery Control Tower (Explicit), Browser Mini-Games — Analytics Arcade (Explicit), SERP Rank Lab (Explicit), Why the aggregate lies: cohort retention triangles (Explicit), Cohort (Explicit), Retention (Explicit), Retention curve (Explicit), Time to convert (Explicit), Projects (Hubs), python (Thematic), retention (Thematic)
  • CRM Experiment Lab — Segment-Stage Randomization, GCG and Net Effect: A/B Testing Methodology Toolkit (Explicit), Causal / Uplift — CUPED and Individual Treatment Effects (Explicit), Projects (Hubs), Airflow DAG Platform (Lateral), Churn Prediction — Leakage-Free Retention Model (Lateral), LinkedIn Content Analytics (Lateral), Classifieds liquidity — a measurability audit (Lateral), ML Fundamentals — scikit-learn Pipeline (Lateral), Product A/B & Funnel Analytics — Conversion versus Retention (Lateral), Promo Margin Lab — what a promo rouble actually earns (Lateral), Python Analytics Playground (Lateral), RAG Evaluation Harness — retrieval and generation metrics (Lateral), SERP Rank Lab (Lateral), SQL Analytics Case Study (Lateral)
  • Delivery Control Tower: SQL Analytics Case Study (Explicit), Cohort Analysis Dashboard (Explicit), A/B Testing Methodology Toolkit (Explicit), Оконные функции: gaps-and-islands, топ-N, range-join для stickiness (Explicit), Projects (Hubs), sql (Thematic)
  • Browser Mini-Games — Analytics Arcade: A/B Testing Methodology Toolkit (Explicit), Cohort Analysis Dashboard (Explicit), SQL Analytics Case Study (Explicit), Why the aggregate lies: cohort retention triangles (Explicit), This Portfolio Site (Explicit), Scrolly English Speaking (Explicit), Projects (Hubs), retention (Thematic)
  • Digital Garden — EQ in IT: This Portfolio Site (Explicit), Scrolly English Speaking (Explicit), OSS catalog — 47 projects from one source (Explicit), Projects (Hubs)
  • GMV Drop RCA — root cause on real data: SQL Analytics Case Study (Explicit), Classifieds liquidity — a measurability audit (Explicit), Кейсы с собеседований: как диагностировать просадку метрики (Explicit), Projects (Hubs), ClickHouse — ten SQL cases on 50M rows (Lateral), ML Fundamentals — scikit-learn Pipeline (Lateral), Product A/B & Funnel Analytics — Conversion versus Retention (Lateral), Promo Margin Lab — what a promo rouble actually earns (Lateral), SERP Rank Lab (Lateral)
  • LinkedIn Content Analytics: A/B Testing Methodology Toolkit (Explicit), TaskFlow — PostHog Product Analytics Pipeline (Explicit), Product Analytics Dashboard (Streamlit) (Explicit), Bootstrap (Explicit), Projects (Hubs), Airflow DAG Platform (Lateral), Causal / Uplift — CUPED and Individual Treatment Effects (Lateral), Churn Prediction — Leakage-Free Retention Model (Lateral), CRM Experiment Lab — Segment-Stage Randomization, GCG and Net Effect (Lateral), Product A/B & Funnel Analytics — Conversion versus Retention (Lateral), Promo Margin Lab — what a promo rouble actually earns (Lateral), Python Analytics Playground (Lateral), RAG Evaluation Harness — retrieval and generation metrics (Lateral), SERP Rank Lab (Lateral)
  • Classifieds liquidity — a measurability audit: GMV Drop RCA — root cause on real data (Explicit), SERP Rank Lab (Explicit), RFM Analysis of Bank Clients (Explicit), Projects (Hubs), ClickHouse — ten SQL cases on 50M rows (Lateral), CRM Experiment Lab — Segment-Stage Randomization, GCG and Net Effect (Lateral), ML Fundamentals — scikit-learn Pipeline (Lateral), Product A/B & Funnel Analytics — Conversion versus Retention (Lateral), Promo Margin Lab — what a promo rouble actually earns (Lateral), SQL Analytics Case Study (Lateral)
  • ML Fundamentals — scikit-learn Pipeline: Churn Prediction — Leakage-Free Retention Model (Explicit), Python Analytics Playground (Explicit), A/B Testing Methodology Toolkit (Explicit), RAG Evaluation Harness — retrieval and generation metrics (Explicit), Projects (Hubs), Data Analyst Telegram Bot (Lateral), Causal / Uplift — CUPED and Individual Treatment Effects (Lateral), CRM Experiment Lab — Segment-Stage Randomization, GCG and Net Effect (Lateral), GMV Drop RCA — root cause on real data (Lateral), Classifieds liquidity — a measurability audit (Lateral), Product A/B & Funnel Analytics — Conversion versus Retention (Lateral), Promo Margin Lab — what a promo rouble actually earns (Lateral)
  • Matemarketing 2026 Programme — a static replica: This Portfolio Site (Explicit), Projects (Hubs)
  • OSS catalog — 47 projects from one source: This Portfolio Site (Explicit), Digital Garden — EQ in IT (Explicit), Projects (Hubs), Scrolly English Speaking (Lateral)
  • TaskFlow — PostHog Product Analytics Pipeline: LinkedIn Content Analytics (Explicit), Product Analytics + A/B on Supabase (Explicit), North Star и конфликты метрик: почему одна метрика ломает продукт (Explicit), Воспроизводимые пайплайны данных: от seed до CI (Explicit), DAU / MAU and stickiness (Explicit), North Star metric (Explicit), Projects (Hubs)
  • Product A/B & Funnel Analytics — Conversion versus Retention: A/B Testing Methodology Toolkit (Explicit), Volta Neobank — Product Analytics (Explicit), RFM Analysis of Bank Clients (Explicit), Юнит-экономика: CAC, LTV, payback и когорты (Explicit), Projects (Hubs), retention (Thematic), Airflow DAG Platform (Lateral), Causal / Uplift — CUPED and Individual Treatment Effects (Lateral), Churn Prediction — Leakage-Free Retention Model (Lateral), ClickHouse — ten SQL cases on 50M rows (Lateral), CRM Experiment Lab — Segment-Stage Randomization, GCG and Net Effect (Lateral), GMV Drop RCA — root cause on real data (Lateral), LinkedIn Content Analytics (Lateral), Classifieds liquidity — a measurability audit (Lateral), ML Fundamentals — scikit-learn Pipeline (Lateral), Promo Margin Lab — what a promo rouble actually earns (Lateral), Python Analytics Playground (Lateral), RAG Evaluation Harness — retrieval and generation metrics (Lateral), SERP Rank Lab (Lateral), SQL Analytics Case Study (Lateral)
  • Promo Margin Lab — what a promo rouble actually earns: Causal / Uplift — CUPED and Individual Treatment Effects (Explicit), A/B Testing Methodology Toolkit (Explicit), SQL Analytics Case Study (Explicit), Churn + uplift: кому дать скидку (причинный таргетинг) (Explicit), SERP Rank Lab (Explicit), Projects (Hubs), Airflow DAG Platform (Lateral), Churn Prediction — Leakage-Free Retention Model (Lateral), CRM Experiment Lab — Segment-Stage Randomization, GCG and Net Effect (Lateral), GMV Drop RCA — root cause on real data (Lateral), LinkedIn Content Analytics (Lateral), Classifieds liquidity — a measurability audit (Lateral), ML Fundamentals — scikit-learn Pipeline (Lateral), Product A/B & Funnel Analytics — Conversion versus Retention (Lateral), Python Analytics Playground (Lateral), RAG Evaluation Harness — retrieval and generation metrics (Lateral)
  • Python Analytics Playground: ML Fundamentals — scikit-learn Pipeline (Explicit), EDA-шаблон с кодом: разведочный анализ по-продуктовому (Explicit), Воспроизводимые пайплайны данных: от seed до CI (Explicit), RAG Evaluation Harness — retrieval and generation metrics (Explicit), Data Analyst Telegram Bot (Explicit), Projects (Hubs), python (Thematic), A/B Testing Methodology Toolkit (Lateral), Airflow DAG Platform (Lateral), Causal / Uplift — CUPED and Individual Treatment Effects (Lateral), Churn Prediction — Leakage-Free Retention Model (Lateral), CRM Experiment Lab — Segment-Stage Randomization, GCG and Net Effect (Lateral), LinkedIn Content Analytics (Lateral), Product A/B & Funnel Analytics — Conversion versus Retention (Lateral), Promo Margin Lab — what a promo rouble actually earns (Lateral), SERP Rank Lab (Lateral), SQL Analytics Case Study (Lateral)
  • RAG Evaluation Harness — retrieval and generation metrics: ML Fundamentals — scikit-learn Pipeline (Explicit), Python Analytics Playground (Explicit), Causal / Uplift — CUPED and Individual Treatment Effects (Explicit), Projects (Hubs), A/B Testing Methodology Toolkit (Lateral), Airflow DAG Platform (Lateral), Churn Prediction — Leakage-Free Retention Model (Lateral), CRM Experiment Lab — Segment-Stage Randomization, GCG and Net Effect (Lateral), LinkedIn Content Analytics (Lateral), Product A/B & Funnel Analytics — Conversion versus Retention (Lateral), Promo Margin Lab — what a promo rouble actually earns (Lateral), SERP Rank Lab (Lateral), SQL Analytics Case Study (Lateral), Volta Neobank — Product Analytics (Lateral)
  • RFM Analysis of Bank Clients: Classifieds liquidity — a measurability audit (Explicit), Product A/B & Funnel Analytics — Conversion versus Retention (Explicit), RFM-сегментация клиентов (Explicit), ARPU (Explicit), LTV (Explicit), RFM segmentation (Explicit), Segmentation (Explicit), Projects (Hubs)
  • Sales Calls Analytics Dashboard: Product Analytics Dashboard (Streamlit) (Explicit), Streamlit-дашборд за выходные: прототип без BI-системы (Explicit), Дашборды, которые не врут: принципы продуктовой визуализации (Explicit), Funnel (Explicit), NPS (Explicit), Projects (Hubs)
  • Scrolly English Speaking: Browser Mini-Games — Analytics Arcade (Explicit), Digital Garden — EQ in IT (Explicit), This Portfolio Site (Explicit), Projects (Hubs), OSS catalog — 47 projects from one source (Lateral)
  • SERP Rank Lab: A/B Testing Methodology Toolkit (Explicit), Classifieds liquidity — a measurability audit (Explicit), Promo Margin Lab — what a promo rouble actually earns (Explicit), Volta Neobank — Product Analytics (Explicit), Cohort Analysis Dashboard (Explicit), Projects (Hubs), Airflow DAG Platform (Lateral), Causal / Uplift — CUPED and Individual Treatment Effects (Lateral), Churn Prediction — Leakage-Free Retention Model (Lateral), ClickHouse — ten SQL cases on 50M rows (Lateral), CRM Experiment Lab — Segment-Stage Randomization, GCG and Net Effect (Lateral), GMV Drop RCA — root cause on real data (Lateral), LinkedIn Content Analytics (Lateral), Product A/B & Funnel Analytics — Conversion versus Retention (Lateral), Python Analytics Playground (Lateral), RAG Evaluation Harness — retrieval and generation metrics (Lateral), SQL Analytics Case Study (Lateral)
  • This Portfolio Site: Browser Mini-Games — Analytics Arcade (Explicit), Digital Garden — EQ in IT (Explicit), Matemarketing 2026 Programme — a static replica (Explicit), OSS catalog — 47 projects from one source (Explicit), Scrolly English Speaking (Explicit), Чек-лист портфолио дата-аналитика (Explicit), Projects (Hubs)
  • SQL Analytics Case Study: Airflow DAG Platform (Explicit), ClickHouse — ten SQL cases on 50M rows (Explicit), Delivery Control Tower (Explicit), Browser Mini-Games — Analytics Arcade (Explicit), GMV Drop RCA — root cause on real data (Explicit), Promo Margin Lab — what a promo rouble actually earns (Explicit), Оконные функции: gaps-and-islands, топ-N, range-join для stickiness (Explicit), EDA-шаблон с кодом: разведочный анализ по-продуктовому (Explicit), GitHub Actions для аналитика: автоматизация без очереди к разработке (Explicit), Воспроизводимые пайплайны данных: от seed до CI (Explicit), Projects (Hubs), sql (Thematic), retention (Thematic), Causal / Uplift — CUPED and Individual Treatment Effects (Lateral), Churn Prediction — Leakage-Free Retention Model (Lateral), CRM Experiment Lab — Segment-Stage Randomization, GCG and Net Effect (Lateral), Classifieds liquidity — a measurability audit (Lateral), Product A/B & Funnel Analytics — Conversion versus Retention (Lateral), Python Analytics Playground (Lateral), RAG Evaluation Harness — retrieval and generation metrics (Lateral), SERP Rank Lab (Lateral)
  • Product Analytics Dashboard (Streamlit): LinkedIn Content Analytics (Explicit), Sales Calls Analytics Dashboard (Explicit), Product Analytics + A/B on Supabase (Explicit), Streamlit-дашборд за выходные: прототип без BI-системы (Explicit), Дашборды, которые не врут: принципы продуктовой визуализации (Explicit), EDA-шаблон с кодом: разведочный анализ по-продуктовому (Explicit), Projects (Hubs), retention (Thematic), segmentation (Thematic), Volta Neobank — Product Analytics (Lateral)
  • Product Analytics + A/B on Supabase: TaskFlow — PostHog Product Analytics Pipeline (Explicit), Product Analytics Dashboard (Streamlit) (Explicit), Дашборды, которые не врут: принципы продуктовой визуализации (Explicit), Воспроизводимые пайплайны данных: от seed до CI (Explicit), Projects (Hubs)
  • Volta Neobank — Product Analytics: A/B Testing Methodology Toolkit (Explicit), Airflow DAG Platform (Explicit), Product A/B & Funnel Analytics — Conversion versus Retention (Explicit), SERP Rank Lab (Explicit), Почему мы перешли на байесовское A/B-тестирование (Explicit), User Journey / Path Analysis: где теряется пользователь (Explicit), Volta — Funnel Analysis (Volta), Volta — KYC Progress-Bar A/B Test (Volta), Volta — Retention & Cohorts (Volta), Volta — User Segmentation (Volta), Volta — Churn Prediction (Volta), Volta — RFM Analysis (Volta), Volta — CLV Modeling (Volta), Volta — Marketing Attribution (Volta), Volta — Anomaly Detection (Volta), Volta — Spend Analysis (Volta), Volta — Support & Churn (Volta), Volta — NPS Trends (Volta), Volta — JTBD × Cohorts (Volta), Volta — Traveler Unit Economics (Volta), Volta — Premium Upsell (Volta), Volta — 45+ KYC Deep-Dive (Volta), Volta — Referral Segments (Volta), Volta — Assisted CAC vs LTV (Volta), Volta — FX Sourcing Feasibility (Volta), Volta — Segment Premium Offers (Volta), Volta — Anchor Launch CAC at Scale (Volta), Volta — Dormant 45+ Win-back (Volta), Volta — Causal Validation of KYC (DiD) (Volta), Calibrating A/B methods with simulation: how to verify a method before production (Explicit), Проактивность аналитика за рамками роли (Explicit), Churn + uplift: кому дать скидку (причинный таргетинг) (Explicit), Why the aggregate lies: cohort retention triangles (Explicit), Feature Impact: как измерить влияние фичи, когда A/B невозможен (Explicit), Первая транзакция: как измерить активацию финтех-продукта (Explicit), Платёжные отказы: как вернуть потерянный revenue (Explicit), Продакт × аналитик: три кейса коллаборации (Explicit), Юнит-экономика: CAC, LTV, payback и когорты (Explicit), Кейс Volta: воронка, A/B и retention на синтетике необанка (Explicit), Projects (Hubs), retention (Thematic), segmentation (Thematic), Product Analytics Dashboard (Streamlit) (Lateral), Causal / Uplift — CUPED and Individual Treatment Effects (Lateral), Churn Prediction — Leakage-Free Retention Model (Lateral), RAG Evaluation Harness — retrieval and generation metrics (Lateral)
  • Calibrating A/B methods with simulation: how to verify a method before production: A/B Testing Methodology Toolkit (Explicit), Почему мы перешли на байесовское A/B-тестирование (Explicit), Volta Neobank — Product Analytics (Explicit), Why the aggregate lies: cohort retention triangles (Explicit), Feature Impact: как измерить влияние фичи, когда A/B невозможен (Explicit), Кейс Volta: воронка, A/B и retention на синтетике необанка (Explicit), Articles (Hubs), python (Thematic), ab-testing (Thematic)
  • Кейсы с собеседований: как диагностировать просадку метрики: GMV Drop RCA — root cause on real data (Explicit), Чек-лист портфолио дата-аналитика (Explicit), Продакт × аналитик: три кейса коллаборации (Explicit), Проактивность аналитика за рамками роли (Explicit), Articles (Hubs), sql (Thematic), career (Thematic)
  • Проактивность аналитика за рамками роли: Кейсы с собеседований: как диагностировать просадку метрики (Explicit), Чек-лист портфолио дата-аналитика (Explicit), Volta Neobank — Product Analytics (Explicit), Автоматизация недельных отчётов через Telegram-бота (Explicit), Articles (Hubs), career (Thematic), Продакт × аналитик: три кейса коллаборации (Lateral)
  • Почему мы перешли на байесовское A/B-тестирование: Volta Neobank — Product Analytics (Explicit), Calibrating A/B methods with simulation: how to verify a method before production (Explicit), A/B Testing Methodology Toolkit (Explicit), RFM-сегментация клиентов (Explicit), Когортный анализ удержания (Explicit), Автоматизация недельных отчётов через Telegram-бота (Explicit), Чек-лист портфолио дата-аналитика (Explicit), Feature Impact: как измерить влияние фичи, когда A/B невозможен (Explicit), Кейс Volta: воронка, A/B и retention на синтетике необанка (Explicit), Articles (Hubs), ab-testing (Thematic)
  • Churn + uplift: кому дать скидку (причинный таргетинг): Causal / Uplift — CUPED and Individual Treatment Effects (Explicit), Churn Prediction — Leakage-Free Retention Model (Explicit), Promo Margin Lab — what a promo rouble actually earns (Explicit), Когортный анализ удержания (Explicit), Volta Neobank — Product Analytics (Explicit), Feature Impact: как измерить влияние фичи, когда A/B невозможен (Explicit), Articles (Hubs), retention (Thematic), causal-inference (Thematic), Платёжные отказы: как вернуть потерянный revenue (Lateral)
  • Когортный анализ удержания: Cohort Analysis Dashboard (Explicit), Почему мы перешли на байесовское A/B-тестирование (Explicit), Churn + uplift: кому дать скидку (причинный таргетинг) (Explicit), RFM-сегментация клиентов (Explicit), Автоматизация недельных отчётов через Telegram-бота (Explicit), Why the aggregate lies: cohort retention triangles (Explicit), Чек-лист портфолио дата-аналитика (Explicit), North Star и конфликты метрик: почему одна метрика ломает продукт (Explicit), Платёжные отказы: как вернуть потерянный revenue (Explicit), Юнит-экономика: CAC, LTV, payback и когорты (Explicit), Кейс Volta: воронка, A/B и retention на синтетике необанка (Explicit), Articles (Hubs), python (Thematic), retention (Thematic), EDA-шаблон с кодом: разведочный анализ по-продуктовому (Lateral), Первая транзакция: как измерить активацию финтех-продукта (Lateral)
  • Why the aggregate lies: cohort retention triangles: Browser Mini-Games — Analytics Arcade (Explicit), Cohort Analysis Dashboard (Explicit), Когортный анализ удержания (Explicit), Calibrating A/B methods with simulation: how to verify a method before production (Explicit), Volta Neobank — Product Analytics (Explicit), Кейс Volta: воронка, A/B и retention на синтетике необанка (Explicit), Дашборды, которые не врут: принципы продуктовой визуализации (Explicit), Первая транзакция: как измерить активацию финтех-продукта (Explicit), Оконные функции: gaps-and-islands, топ-N, range-join для stickiness (Explicit), User Journey / Path Analysis: где теряется пользователь (Explicit), Articles (Hubs), python (Thematic), retention (Thematic), EDA-шаблон с кодом: разведочный анализ по-продуктовому (Lateral)
  • Дашборды, которые не врут: принципы продуктовой визуализации: Product Analytics Dashboard (Streamlit) (Explicit), Product Analytics + A/B on Supabase (Explicit), Why the aggregate lies: cohort retention triangles (Explicit), Sales Calls Analytics Dashboard (Explicit), North Star и конфликты метрик: почему одна метрика ломает продукт (Explicit), Streamlit-дашборд за выходные: прототип без BI-системы (Explicit), Articles (Hubs), python (Thematic)
  • Чек-лист портфолио дата-аналитика: This Portfolio Site (Explicit), Кейсы с собеседований: как диагностировать просадку метрики (Explicit), Проактивность аналитика за рамками роли (Explicit), RFM-сегментация клиентов (Explicit), Когортный анализ удержания (Explicit), Почему мы перешли на байесовское A/B-тестирование (Explicit), Продакт × аналитик: три кейса коллаборации (Explicit), Articles (Hubs), career (Thematic)
  • EDA-шаблон с кодом: разведочный анализ по-продуктовому: Python Analytics Playground (Explicit), Воспроизводимые пайплайны данных: от seed до CI (Explicit), Product Analytics Dashboard (Streamlit) (Explicit), SQL Analytics Case Study (Explicit), Articles (Hubs), python (Thematic), Когортный анализ удержания (Lateral), Why the aggregate lies: cohort retention triangles (Lateral)
  • Feature Impact: как измерить влияние фичи, когда A/B невозможен: Churn + uplift: кому дать скидку (причинный таргетинг) (Explicit), Calibrating A/B methods with simulation: how to verify a method before production (Explicit), Почему мы перешли на байесовское A/B-тестирование (Explicit), Volta Neobank — Product Analytics (Explicit), Articles (Hubs), ab-testing (Thematic), causal-inference (Thematic), Кейс Volta: воронка, A/B и retention на синтетике необанка (Lateral)
  • Первая транзакция: как измерить активацию финтех-продукта: Volta Neobank — Product Analytics (Explicit), Why the aggregate lies: cohort retention triangles (Explicit), Кейс Volta: воронка, A/B и retention на синтетике необанка (Explicit), User Journey / Path Analysis: где теряется пользователь (Explicit), Articles (Hubs), retention (Thematic), Когортный анализ удержания (Lateral)
  • GitHub Actions для аналитика: автоматизация без очереди к разработке: Airflow DAG Platform (Explicit), Воспроизводимые пайплайны данных: от seed до CI (Explicit), Автоматизация недельных отчётов через Telegram-бота (Explicit), SQL Analytics Case Study (Explicit), Articles (Hubs), python (Thematic), automation (Thematic)
  • North Star и конфликты метрик: почему одна метрика ломает продукт: Дашборды, которые не врут: принципы продуктовой визуализации (Explicit), Когортный анализ удержания (Explicit), TaskFlow — PostHog Product Analytics Pipeline (Explicit), North Star metric (Explicit), Guardrail metric (Explicit), Articles (Hubs), metric-design (Thematic)
  • Платёжные отказы: как вернуть потерянный revenue: Churn Prediction — Leakage-Free Retention Model (Explicit), Когортный анализ удержания (Explicit), Volta Neobank — Product Analytics (Explicit), Автоматизация недельных отчётов через Telegram-бота (Explicit), Churn (Explicit), Articles (Hubs), retention (Thematic), Churn + uplift: кому дать скидку (причинный таргетинг) (Lateral)
  • Продакт × аналитик: три кейса коллаборации: Кейсы с собеседований: как диагностировать просадку метрики (Explicit), Volta Neobank — Product Analytics (Explicit), Чек-лист портфолио дата-аналитика (Explicit), Автоматизация недельных отчётов через Telegram-бота (Explicit), Articles (Hubs), career (Thematic), Проактивность аналитика за рамками роли (Lateral)
  • Воспроизводимые пайплайны данных: от seed до CI: Airflow DAG Platform (Explicit), Python Analytics Playground (Explicit), EDA-шаблон с кодом: разведочный анализ по-продуктовому (Explicit), GitHub Actions для аналитика: автоматизация без очереди к разработке (Explicit), TaskFlow — PostHog Product Analytics Pipeline (Explicit), Product Analytics + A/B on Supabase (Explicit), SQL Analytics Case Study (Explicit), Streamlit-дашборд за выходные: прототип без BI-системы (Explicit), Articles (Hubs), sql (Thematic), python (Thematic)
  • RFM-сегментация клиентов: RFM Analysis of Bank Clients (Explicit), Почему мы перешли на байесовское A/B-тестирование (Explicit), Когортный анализ удержания (Explicit), Чек-лист портфолио дата-аналитика (Explicit), Автоматизация недельных отчётов через Telegram-бота (Explicit), Юнит-экономика: CAC, LTV, payback и когорты (Explicit), Articles (Hubs), sql (Thematic), segmentation (Thematic)
  • Оконные функции: gaps-and-islands, топ-N, range-join для stickiness: Delivery Control Tower (Explicit), SQL Analytics Case Study (Explicit), Why the aggregate lies: cohort retention triangles (Explicit), Articles (Hubs), sql (Thematic)
  • Streamlit-дашборд за выходные: прототип без BI-системы: Sales Calls Analytics Dashboard (Explicit), Product Analytics Dashboard (Streamlit) (Explicit), Дашборды, которые не врут: принципы продуктовой визуализации (Explicit), Воспроизводимые пайплайны данных: от seed до CI (Explicit), Articles (Hubs), python (Thematic)
  • Автоматизация недельных отчётов через Telegram-бота: Data Analyst Telegram Bot (Explicit), Проактивность аналитика за рамками роли (Explicit), Почему мы перешли на байесовское A/B-тестирование (Explicit), Когортный анализ удержания (Explicit), GitHub Actions для аналитика: автоматизация без очереди к разработке (Explicit), Платёжные отказы: как вернуть потерянный revenue (Explicit), Продакт × аналитик: три кейса коллаборации (Explicit), RFM-сегментация клиентов (Explicit), Articles (Hubs), python (Thematic), automation (Thematic)
  • Юнит-экономика: CAC, LTV, payback и когорты: Product A/B & Funnel Analytics — Conversion versus Retention (Explicit), Когортный анализ удержания (Explicit), RFM-сегментация клиентов (Explicit), Volta Neobank — Product Analytics (Explicit), LTV (Explicit), CAC and unit economics (Explicit), Articles (Hubs)
  • User Journey / Path Analysis: где теряется пользователь: Volta Neobank — Product Analytics (Explicit), Первая транзакция: как измерить активацию финтех-продукта (Explicit), Why the aggregate lies: cohort retention triangles (Explicit), Funnel (Explicit), Articles (Hubs)
  • Кейс Volta: воронка, A/B и retention на синтетике необанка: Why the aggregate lies: cohort retention triangles (Explicit), Первая транзакция: как измерить активацию финтех-продукта (Explicit), Volta Neobank — Product Analytics (Explicit), Когортный анализ удержания (Explicit), Calibrating A/B methods with simulation: how to verify a method before production (Explicit), Почему мы перешли на байесовское A/B-тестирование (Explicit), Articles (Hubs), ab-testing (Thematic), retention (Thematic), segmentation (Thematic), Feature Impact: как измерить влияние фичи, когда A/B невозможен (Lateral)
  • Volta — KYC Progress-Bar A/B Test: Volta Neobank — Product Analytics (Volta)
  • Volta — Anchor Launch CAC at Scale: Volta Neobank — Product Analytics (Volta)
  • Volta — Anomaly Detection: Volta Neobank — Product Analytics (Volta)
  • Volta — Assisted CAC vs LTV: Volta Neobank — Product Analytics (Volta)
  • Volta — Marketing Attribution: Volta Neobank — Product Analytics (Volta)
  • Volta — Causal Validation of KYC (DiD): Volta Neobank — Product Analytics (Volta)
  • Volta — Churn Prediction: Volta Neobank — Product Analytics (Volta)
  • Volta — CLV Modeling: Volta Neobank — Product Analytics (Volta)
  • Volta — Dormant 45+ Win-back: Volta Neobank — Product Analytics (Volta)
  • Volta — Funnel Analysis: Volta Neobank — Product Analytics (Volta)
  • Volta — FX Sourcing Feasibility: Volta Neobank — Product Analytics (Volta)
  • Volta — JTBD × Cohorts: Volta Neobank — Product Analytics (Volta)
  • Volta — 45+ KYC Deep-Dive: Volta Neobank — Product Analytics (Volta)
  • Volta — NPS Trends: Volta Neobank — Product Analytics (Volta)
  • Volta — Segment Premium Offers: Volta Neobank — Product Analytics (Volta)
  • Volta — Premium Upsell: Volta Neobank — Product Analytics (Volta)
  • Volta — Referral Segments: Volta Neobank — Product Analytics (Volta)
  • Volta — Retention & Cohorts: Volta Neobank — Product Analytics (Volta)
  • Volta — RFM Analysis: Volta Neobank — Product Analytics (Volta)
  • Volta — User Segmentation: Volta Neobank — Product Analytics (Volta)
  • Volta — Spend Analysis: Volta Neobank — Product Analytics (Volta)
  • Volta — Support & Churn: Volta Neobank — Product Analytics (Volta)
  • Volta — Traveler Unit Economics: Volta Neobank — Product Analytics (Volta)
  • A/A test: Sample Ratio Mismatch (SRM) (Explicit), p-value (Explicit), CUPED (Explicit), A/B Testing Methodology Toolkit (Explicit), A/B test (Explicit), Statistical power (Explicit), Glossary (Hubs), ab-testing (Thematic)
  • A/B test: p-value (Explicit), Statistical power (Explicit), A/A test (Explicit), Sample Ratio Mismatch (SRM) (Explicit), Minimum detectable effect (MDE) (Explicit), Confidence interval (Explicit), Correlation and causation (Explicit), Guardrail metric (Explicit), Sample size (Explicit), Glossary (Hubs), ab-testing (Thematic)
  • ARPU: LTV (Explicit), DAU / MAU and stickiness (Explicit), NPS (Explicit), RFM Analysis of Bank Clients (Explicit), CAC and unit economics (Explicit), North Star metric (Explicit), Glossary (Hubs), segmentation (Thematic)
  • Bootstrap: LinkedIn Content Analytics (Explicit), p-value (Explicit), Uplift modelling (Explicit), Causal / Uplift — CUPED and Individual Treatment Effects (Explicit), Confidence interval (Explicit), Correlation and causation (Explicit), Sample size (Explicit), Glossary (Hubs), ab-testing (Thematic)
  • CAC and unit economics: Юнит-экономика: CAC, LTV, payback и когорты (Explicit), LTV (Explicit), ARPU (Explicit), Churn (Explicit), RFM segmentation (Explicit), Glossary (Hubs), segmentation (Thematic)
  • Churn: Платёжные отказы: как вернуть потерянный revenue (Explicit), CAC and unit economics (Explicit), Retention (Explicit), LTV (Explicit), Uplift modelling (Explicit), RFM segmentation (Explicit), Churn Prediction — Leakage-Free Retention Model (Explicit), NPS (Explicit), Retention curve (Explicit), Segmentation (Explicit), Glossary (Hubs), retention (Thematic), segmentation (Thematic)
  • Cohort: Retention (Explicit), Retention curve (Explicit), Segmentation (Explicit), Time to convert (Explicit), Cohort Analysis Dashboard (Explicit), Glossary (Hubs), retention (Thematic)
  • Confidence interval: A/B Testing Methodology Toolkit (Explicit), p-value (Explicit), Bootstrap (Explicit), Minimum detectable effect (MDE) (Explicit), A/B test (Explicit), Glossary (Hubs), ab-testing (Thematic)
  • Correlation and causation: Causal / Uplift — CUPED and Individual Treatment Effects (Explicit), Uplift modelling (Explicit), CUPED (Explicit), Bootstrap (Explicit), A/B test (Explicit), Glossary (Hubs), ab-testing (Thematic), causal-inference (Thematic)
  • CUPED: A/A test (Explicit), Correlation and causation (Explicit), Sample Ratio Mismatch (SRM) (Explicit), p-value (Explicit), Statistical power (Explicit), Minimum detectable effect (MDE) (Explicit), Causal / Uplift — CUPED and Individual Treatment Effects (Explicit), Uplift modelling (Explicit), Glossary (Hubs), ab-testing (Thematic)
  • DAU / MAU and stickiness: ARPU (Explicit), Retention (Explicit), North Star metric (Explicit), Retention curve (Explicit), TaskFlow — PostHog Product Analytics Pipeline (Explicit), Glossary (Hubs)
  • Funnel: User Journey / Path Analysis: где теряется пользователь (Explicit), North Star metric (Explicit), Retention (Explicit), Time to convert (Explicit), Sales Calls Analytics Dashboard (Explicit), Glossary (Hubs)
  • Guardrail metric: North Star и конфликты метрик: почему одна метрика ломает продукт (Explicit), North Star metric (Explicit), A/B test (Explicit), Sample Ratio Mismatch (SRM) (Explicit), Glossary (Hubs), ab-testing (Thematic)
  • LTV: Юнит-экономика: CAC, LTV, payback и когорты (Explicit), ARPU (Explicit), CAC and unit economics (Explicit), Churn (Explicit), Retention (Explicit), Segmentation (Explicit), RFM Analysis of Bank Clients (Explicit), RFM segmentation (Explicit), Glossary (Hubs), segmentation (Thematic)
  • Minimum detectable effect (MDE): A/B test (Explicit), Confidence interval (Explicit), CUPED (Explicit), Statistical power (Explicit), p-value (Explicit), Sample Ratio Mismatch (SRM) (Explicit), A/B Testing Methodology Toolkit (Explicit), Sample size (Explicit), Uplift modelling (Explicit), Glossary (Hubs), ab-testing (Thematic)
  • North Star metric: North Star и конфликты метрик: почему одна метрика ломает продукт (Explicit), DAU / MAU and stickiness (Explicit), Funnel (Explicit), Guardrail metric (Explicit), Retention (Explicit), ARPU (Explicit), TaskFlow — PostHog Product Analytics Pipeline (Explicit), Glossary (Hubs)
  • NPS: ARPU (Explicit), Retention (Explicit), Churn (Explicit), Sales Calls Analytics Dashboard (Explicit), Glossary (Hubs), segmentation (Thematic)
  • p-value: A/A test (Explicit), A/B test (Explicit), Bootstrap (Explicit), Confidence interval (Explicit), CUPED (Explicit), Minimum detectable effect (MDE) (Explicit), Statistical power (Explicit), Sample Ratio Mismatch (SRM) (Explicit), A/B Testing Methodology Toolkit (Explicit), Glossary (Hubs), ab-testing (Thematic)
  • Retention: Churn (Explicit), Cohort (Explicit), DAU / MAU and stickiness (Explicit), Funnel (Explicit), LTV (Explicit), North Star metric (Explicit), NPS (Explicit), Retention curve (Explicit), Cohort Analysis Dashboard (Explicit), Time to convert (Explicit), Glossary (Hubs), retention (Thematic)
  • Retention curve: Cohort (Explicit), DAU / MAU and stickiness (Explicit), Retention (Explicit), Churn (Explicit), Cohort Analysis Dashboard (Explicit), Glossary (Hubs), retention (Thematic)
  • RFM segmentation: CAC and unit economics (Explicit), Churn (Explicit), Segmentation (Explicit), LTV (Explicit), RFM Analysis of Bank Clients (Explicit), Glossary (Hubs), segmentation (Thematic)
  • Sample size: A/B Testing Methodology Toolkit (Explicit), Statistical power (Explicit), Minimum detectable effect (MDE) (Explicit), A/B test (Explicit), Bootstrap (Explicit), Glossary (Hubs), ab-testing (Thematic)
  • Segmentation: Cohort (Explicit), LTV (Explicit), RFM segmentation (Explicit), Churn (Explicit), RFM Analysis of Bank Clients (Explicit), Glossary (Hubs), segmentation (Thematic)
  • Sample Ratio Mismatch (SRM): A/A test (Explicit), A/B test (Explicit), CUPED (Explicit), Guardrail metric (Explicit), Minimum detectable effect (MDE) (Explicit), p-value (Explicit), A/B Testing Methodology Toolkit (Explicit), Glossary (Hubs), ab-testing (Thematic)
  • Statistical power: A/B test (Explicit), CUPED (Explicit), Minimum detectable effect (MDE) (Explicit), p-value (Explicit), Sample size (Explicit), A/A test (Explicit), A/B Testing Methodology Toolkit (Explicit), Glossary (Hubs), ab-testing (Thematic)
  • Time to convert: Cohort (Explicit), Funnel (Explicit), Retention (Explicit), Cohort Analysis Dashboard (Explicit), Glossary (Hubs), retention (Thematic)
  • Uplift modelling: Bootstrap (Explicit), Churn (Explicit), Correlation and causation (Explicit), CUPED (Explicit), Minimum detectable effect (MDE) (Explicit), Causal / Uplift — CUPED and Individual Treatment Effects (Explicit), Glossary (Hubs), ab-testing (Thematic)
  • sql: Кейсы с собеседований: как диагностировать просадку метрики (Thematic), Воспроизводимые пайплайны данных: от seed до CI (Thematic), RFM-сегментация клиентов (Thematic), Оконные функции: gaps-and-islands, топ-N, range-join для stickiness (Thematic), ClickHouse — ten SQL cases on 50M rows (Thematic), Delivery Control Tower (Thematic), SQL Analytics Case Study (Thematic)
  • python: Calibrating A/B methods with simulation: how to verify a method before production (Thematic), Когортный анализ удержания (Thematic), Why the aggregate lies: cohort retention triangles (Thematic), Дашборды, которые не врут: принципы продуктовой визуализации (Thematic), EDA-шаблон с кодом: разведочный анализ по-продуктовому (Thematic), GitHub Actions для аналитика: автоматизация без очереди к разработке (Thematic), Воспроизводимые пайплайны данных: от seed до CI (Thematic), Streamlit-дашборд за выходные: прототип без BI-системы (Thematic), Автоматизация недельных отчётов через Telegram-бота (Thematic), Cohort Analysis Dashboard (Thematic), Python Analytics Playground (Thematic)
  • ab-testing: Calibrating A/B methods with simulation: how to verify a method before production (Thematic), Почему мы перешли на байесовское A/B-тестирование (Thematic), Feature Impact: как измерить влияние фичи, когда A/B невозможен (Thematic), Кейс Volta: воронка, A/B и retention на синтетике необанка (Thematic), A/A test (Thematic), A/B test (Thematic), Bootstrap (Thematic), Confidence interval (Thematic), Correlation and causation (Thematic), CUPED (Thematic), Guardrail metric (Thematic), Minimum detectable effect (MDE) (Thematic), p-value (Thematic), Sample size (Thematic), Sample Ratio Mismatch (SRM) (Thematic), Statistical power (Thematic), Uplift modelling (Thematic)
  • retention: Churn + uplift: кому дать скидку (причинный таргетинг) (Thematic), Когортный анализ удержания (Thematic), Why the aggregate lies: cohort retention triangles (Thematic), Первая транзакция: как измерить активацию финтех-продукта (Thematic), Платёжные отказы: как вернуть потерянный revenue (Thematic), Кейс Volta: воронка, A/B и retention на синтетике необанка (Thematic), Churn (Thematic), Cohort (Thematic), Retention (Thematic), Retention curve (Thematic), Time to convert (Thematic), Churn Prediction — Leakage-Free Retention Model (Thematic), Cohort Analysis Dashboard (Thematic), Browser Mini-Games — Analytics Arcade (Thematic), Product A/B & Funnel Analytics — Conversion versus Retention (Thematic), SQL Analytics Case Study (Thematic), Product Analytics Dashboard (Streamlit) (Thematic), Volta Neobank — Product Analytics (Thematic)
  • segmentation: RFM-сегментация клиентов (Thematic), Кейс Volta: воронка, A/B и retention на синтетике необанка (Thematic), ARPU (Thematic), CAC and unit economics (Thematic), Churn (Thematic), LTV (Thematic), NPS (Thematic), RFM segmentation (Thematic), Segmentation (Thematic), Product Analytics Dashboard (Streamlit) (Thematic), Volta Neobank — Product Analytics (Thematic)
  • automation: GitHub Actions для аналитика: автоматизация без очереди к разработке (Thematic), Автоматизация недельных отчётов через Telegram-бота (Thematic)
  • career: Кейсы с собеседований: как диагностировать просадку метрики (Thematic), Проактивность аналитика за рамками роли (Thematic), Чек-лист портфолио дата-аналитика (Thematic), Продакт × аналитик: три кейса коллаборации (Thematic)
  • causal-inference: Churn + uplift: кому дать скидку (причинный таргетинг) (Thematic), Feature Impact: как измерить влияние фичи, когда A/B невозможен (Thematic), Correlation and causation (Thematic)
  • metric-design: North Star и конфликты метрик: почему одна метрика ломает продукт (Thematic)
All graph nodes — 118

Projects 55

Articles 25

Generator — src/lib/graph.ts; edge sources — related in frontmatter, post tags and the Volta project's children.