Ангеліна

Data Analyst
Anhelina Vyshniak
[відкрити контакти](див. вище в блоці «контактна інформація»)
Kyiv, Ukraine
Skills
• SQL (MySQL — data cleaning and handling)
• Python (Pandas, NumPy, MatPlotLib)
• R Studio (Dplyr, Ggplot2, Forecast)
• Google Sheets & Excel (VLookup, Conditional Formatting, Pivot Tables, Data Visualization)
• Tableau
• Microsoft Power BI (Power Query, DAX, Dashboards)

Work Experience
Data Analyst – Delta Group – Kyiv, UkraineMay 2024 – May 2025
• Created and maintained interactive Power BI reports to monitor sales and marketing performance.
• Conducted trade-marketing activity analysis to assess campaign effectiveness and ROI using Excel.
• Evaluated new product opportunities through payback modeling and competitor benchmarking.

Projects
STATISTICAL ANALYSIS OF SLEEP TRENDS — Academic Project — Kyiv School of EconomicsDecember 2023
• Utilized R Studio to analyze datasets on sleep health and lifestyle habits.
• Applied hypothesis testing, confidence intervals, and correlation analysis to identify key statistical patterns.
• Compiled findings into an analytical report with actionable insights on sleep-related trends.
EXPLORING EDUCATIONAL TRENDS — Academic Project — Kyiv School of EconomicsMay 2024
• Analyzed Ukraine’s 2023 National Multi-subject Test (NMT) data using R Studio.
• Explored gender, regional, and age-based differences through descriptive and inferential statistics.
• Created visualizations using Tableau and interpreted results to uncover patterns in student performance.
SALES PERFORMANCE DASHBOARD — Academic Project — Kyiv School of EconomicsJune 2025
• Processed sales data in Power BI and MySQL using Power Query for cleaning and merging.
• Built interactive dashboard with slicers, KPIs, and visualizations to track revenue and shipped orders.
• Applied DAX to calculate MoM growth, shipped %, and average order value.
GAME METRICS ANALYSIS — Academic Project — Kyiv School of EconomicsFebruary 2025
• Processed and analyzed game dataset using Google Sheets and MySQL, calculating key product metrics (Revenue, ARPU, ARPPU, PU%, Avg Check).
• Built country-level and cohort-based pivot tables to evaluate monetization performance and user retention.
• Created visualizations comparing revenue and retention trends across markets (US, UK), applying appropriate chart types and data storytelling principles.

Education
Bachelor of Economics and big data– Kyiv School of Economics – Kyiv, UkraineSeptember 2022 — July 2026