- 📚 Learning: Bayesian A/B testing, ClickHouse, dbt, Apache Airflow, Apache Superset
- 💼 Open to: BI / product / data analyst roles — actively interviewing
- 🤝 Collab: experimentation, user retention analytics
- 🚧 Building: interactive analyst portfolio — playable SVG games + self-hosted GitHub stats
27 projects across 4 tracks · 23 Volta case studies
🏦 Volta Neobank — 23 case studies
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Last refreshed: 2026-10-27 09:51 UTC · 273 contributions in the last 7 days
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- Проактивность аналитика за рамками роли
- Churn + uplift: кому дать скидку (причинный таргетинг)
- EDA-шаблон с кодом: разведочный анализ по-продуктовому
Auto-updated daily from the site RSS via GitHub Actions.
Languages
Data & Machine Learning
Storage & Pipelines
BI & Product Analytics
Shipping & Quality
Web & Publishing
Exploring next: ClickHouse · Bayesian A/B testing · real-time pipelines — every other badge above ships in one of the 27 projects.
🧩 How this profile is built — situation, task, actions, result
Situation. The work lived across many repositories — experiments, SQL, retention, segmentation — each with its own numbers and no single reachable page tying a method to the result it produced.
Task. Turn that body of work into a profile a recruiter can navigate in one scroll: headline cases with real numbers, a public case study per project, and a portfolio site that demonstrates the analytics rather than describing it.
Actions. Published the work end-to-end. Projects are grouped into Experiments / Analytics / Product / Engineering, the Volta flagship carries 23 linked sub-cases, and the portfolio site at https://nikitaboyarkin.github.io renders every case study. In the site, headline numbers are frozen in src/lib/metrics.ts and CI-checked; profile cards, stats and the SVG games are self-hosted via scripts/build_profile.py.
Result. A public portfolio site plus a self-hosted profile: 8 playable SVG mini-games, the Volta flagship at +5.72 pp KYC conversion and €208.5K over 12 months, and an analytics evidence map linking each method to the repository that produced it.
Profile cards (stats, activity, contribution map, contribution types, monthly activity, top languages) are self-hosted via scripts/build_profile.py. Powered by snk, blog-post-workflow, skill-icons, shields.io, and jsDelivr.

