Vladimir Shkurko
Data/Business Analyst focused on Python, SQL, PostgreSQL, and dashboards. I turn messy data into clear, decision-ready insights with compact tools and clear reporting.
Skills
Python: pandas, NumPy, matplotlib
SQL: joins, CTEs, window functions
Databases: PostgreSQL
Analytics: KPIs, cohort/time-series basics, reporting
Ops: Git/GitHub, Render, UptimeRobot
Other: Excel (pivots, lookups), API integration
Projects (Selected)
ioVote Analytics Dashboards — Python, SQL, PostgreSQL, matplotlib
- Built turnout, option-level, and time-series views; reduced manual reporting by [~30%].
- Delivered clear visuals for non-technical readers; improved decision speed.
- Documented queries and checks for reproducibility.
Job-Market Monitor — Telegram + Jooble API, Python
- Automated role discovery with keyword filtering and alerts; saved [~2 hrs/week].
- Improved alert precision to [20%] after tuning.
Ops & Stability Tracking — Render, UptimeRobot
- Set up uptime checks and simple release metrics to surface reliability issues.
- Reduced manual verification; increased deployment confidence.
Experience
Independent Developer / Analyst — 2024–2025, Belgrade (Remote)
- Delivered small data tools end-to-end: scoping, implementation, documentation.
- Collaborated with stakeholders and adapted deliverables to non-technical needs.
Education & Learning
- PostgreSQL coursework — DataCamp (free module completed)
- Continual self-study: SQL window functions, query planning, data visualization