Data & business analyst in Prague. I build data products end-to-end — sourcing, verification, analysis, delivery — and I care most about numbers that survive checking. Most recently I built and operated a 12-country startup-intelligence pipeline during an internship with Microsoft's Enterprise Partner Solutions team in Central and Eastern Europe and Central Asia.
SUDigger — signal-driven startup intelligence · interactive walkthrough A production pipeline that discovered, verified and scored partnership-ready startups across 12 countries and published the daily dashboards the partner-solutions team actually worked in. It flagged six funding rounds 4–22 days before public news — receipts with public links in the repo — at roughly 5% of the cost of a naive full-refresh design. Ran on a local scheduler first, then migrated to a cloud pipeline on Azure (Container Apps jobs + AI Foundry + Azure OpenAI). Ships a runnable, zero-dependency mini-engine that replays the mechanism on synthetic data.
Financial inclusion 2011–2024 — Global Findex 2025 A balanced-panel analysis of the World Bank's newest Global Findex, validated series-by-series against the official aggregates embedded in the data, plus a working paper quantifying four aggregation pitfalls that individually bias levels by only 1–2 points — and compound into sign-flipped trends. Grew out of my bachelor's thesis; auditing my own earlier version supplied the error catalogue.
Smartwatch price analysis An end-to-end pricing analysis whose headline lesson is honesty: removing duplicate-row leakage turned an impressive-looking R² ≈ 0.8 into a defensible 0.42, and the write-up explains why the smaller number is the better result.
Roles where data quality is a feature, not an afterthought — data analytics, analytics engineering, and applied-AI work, with a deliberate push toward cloud systems architecture and solutions. The systems I build increasingly live in the cloud: SUDigger runs on Azure (Container Apps jobs, AI Foundry, Azure OpenAI, blob-backed storage), and the architecture questions behind that migration — what belongs in a managed runtime, what stays a scheduled job, where state lives — are exactly the work I want more of. On top of that foundation I'm deepening agentic-systems engineering: harness design, verification gates, and cost-aware LLM pipelines.
📫 georgybkv@gmail.com · @grgbkv on Discord / Telegram / Instagram · Prague, Czech Republic