Doświadczenie w pracy:
Educational Projects in Data Analytics (Jun 2024 – Present)
• Retail service analysis in Excel: identified 30% transaction growth after new store launch, analyzed server load imbalance (50% peak on one server), optimized discount costs by 15%.
• Gaming analytics with SQL: calculated DAU/MAU/WAU (up to 1500+ users), retention (71%), LTV, CAC, K-factor; detected technical issues (12% incomplete sessions, mostly iOS).
• A/B testing of recommendation system (Python + pandas + SciPy + Matplotlib/Seaborn): cleaned inconsistent data, measured 10% retention uplift.
• Designed A/B test for payment flow: +6% conversion (p<0.05), segmented by city and time.
• Integrated multi-source data, ran statistical tests, built visualizations and loyalty reports.
Data Analyst Intern (Mar 2026)
Infomaximum – https://infomaximum.ru/
• Developed 35+ SQL queries for gaming platform and order processing analysis.
• Performed Process Mining on 11,000+ events, identified data quality issues (missing values, duplicates, anomalies).
• Calculated cycle times and bottlenecks; built 2 monitoring dashboards. Tools: SQL (ClickHouse), Processet
Project Manager & Business Owner (Jun 2018 – Dec 2025) Self-employed, Event Industry
• Grew orders by 45% and customer base by 65% through data analysis in Excel/Google Sheets and process optimization.
• Analyzed sales, traffic sources, and client behavior to improve conversion.
• Managed teams of 12+, reduced costs by 5%, maintained high client retention.
Umiejętności zawodowe i inne:
Excel, SQL, Python
Dodatkowo:
Aspiring Data Analyst with hands-on experience in SQL, Python, Excel, and product analytics through educational projects and internship. Strong technical background combined with 7+ years of business management, where data-driven decisions optimized operations, increased revenue, and improved customer retention. Eager to join a team (open to internships and startups) to apply analytical skills on real projects and grow professionally.
