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Опыт работы

Data analyst

с 04.2025 по 04.2026 (1 год)
NDA, Дистанційно (IT)

Statistical Analysis: Designed and evaluated A/B tests, calculating p-values, confidence intervals, and statistical significance to support product decisions.
Data Visualization: Developed interactive Tableau dashboards to monitor KPIs and communicate insights clearly to stakeholders.
Data Transformation: Used SQL (CTEs, Window Functions, Joins) to extract, clean, and structure large datasets for analysis.
Business Analytics: Conducted funnel analysis, customer behavior analysis, and performance reporting to identify conversion opportunities and support business recommendations.

Образование

Yaroslav Mudryi National Law University

Мaster of Laws, Харків
Высшее, с 2004 по 2009 (5 лет)

Дополнительное образование и сертификаты

Mate Acadamy

2025-2026, 7 місяців
Сертификат

Знания и навыки

• SQL
• Python
• Tableau
• PostgreSQL
• BigQuery
• Pandas
• NumPy
• SciPy
• Seaborn
• Matplotlib
• Relplot
• Catplot
• Looker Studio
• Google Sheets
• MS Excel
• Formation of pivot tables
• VLOOKUP/XLOOKUP
• 1С:Підприємство
• Analysis of social network statistics
• Budget analysis
• A/B testing
• ETL
• Agile
• Scrum
• Kanban
• Jira
• Trello

Знание языков

Английский — средний

Дополнительная информация

Data-Driven Tender Management Led the analysis and validation of procurement documentation for contracts worth 23M+ UAH in the energy sector, ensuring 100% compliance with zero errors under a high-pressure 1-week deadline.
Strategic Market Expansion Identified and captured new market niches in government procurement and wholesale distribution, delivering a consistent 7% year-over-year revenue growth over a 7-year period.
Analytical Problem Solving: Analyzed sales data and market demand trends to justify accepting a delayed 375,000 UAH shipment. Proved continued market relevance of the inventory, preventing financial losses and preserving key supplier relationships.
Sales Impact Secured a record-breaking 658,000 UAH contract, driving a 14% increase in total company monthly sales volume through data-backed negotiation.
Technical Pivot: Completed 600+ hours of intensive training, applying SQL, Python, and Tableau to real-world datasets. Conducted A/B testing and funnel analysis, identifying statistically significant conversion lifts (up to +189%) and delivering actionable product recommendations.