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Work experience

Data analyst

from 01.2026 to now (4 months)
Remote Helpers, Дистанційно (Пошук персоналу, HR)

Cohort analysis of user retention and optimization of marketing
strategy
Technical implementation:
Data processing: Implemented raw transaction data cleaning in
Python/Pandas, duplicate processing, and type conversion. Used the
pandas method’s to segment users by date of first purchase.
Complex calculations: Optimized the calculation of customer
lifetime through Pandas vector operations, which accelerated data
processing by 5 times compared to loops.
Visualization: Built a retention matrix and visualized it as a heat
map with color coding for quick detection of anomalies in cohort
behavior.
Analytical implementation:
Conducted a cohort analysis, revealing a twofold difference in
retention rates between the January (36%) and July (18%) cohorts.
Identified a downward trend in the retention of older customers, which
allowed us to formulate hypotheses about low traffic quality and
seasonal shortages of goods.

Education

Тернопільський Національний Університет ім. Івана Пулюя

Автоматизація і комп'ютерно-інтегровані технології, Тернопіль
Higher, from 2021 to 2025 (4 years)

Additional education and certificates

Data cleaning

2025, 2 місяці

Data visualization

2025, 3 місяці

Excel course

2025, 2 місяці

SQL, SQLAcademy

2024, 1 рік

Python

2024, 2 роки

Knowledge and skills

• MS Excel
• SQL
• MySQL
• PostgreSQL
• Python
• NumPy
• Pandas
• SciPy
• Statistics
• Tableau
• MS Power BI
• Google Sheets
• Google Analytics 4
• Financial analysis
• Sales analysis
• Стресостійкість
• Адаптивність
• Комунікабельність
• Quick learner
• Jira

Language proficiencies

• English — above average
• Ukrainian — fluent