Oleksandra

Oleksandra Shevchenko
Product Analyst | Data Analyst | Marketing Analyst

SQL · Python · A/B Testing · Retention & Engagement Analytics · Tableau / Power BI

[відкрити контакти](див. вище в блоці «контактна інформація») | [відкрити контакти](див. вище в блоці «контактна інформація») | github.com/Oleksandra-Shevchenko

SKILLS
Product analytics: A/B testing and hypothesis testing, retention and cohort analysis, engagement and KPI
tracking, user segmentation
SQL: BigQuery, PostgreSQL, SQL Server (CTEs, window functions, query optimisation)
Python: pandas, NumPy, SciPy, Matplotlib, seaborn (EDA, statistical testing)
BI and data tools: Tableau, Power BI, Alteryx, Excel (Pivot Tables, VLOOKUP), Google Sheets

EXPERIENCE
PwC Ukraine
Junior Data Analyst, Audit & Assurance Oct 2025 – Jun 2026
● Automated multi-source data reconciliations in Alteryx and SQL, replacing manual Excel checks and
freeing the audit team’s time for analysis
● Cleaned and standardised large financial datasets to Big Four quality standards, building the
data-validation discipline that reliable product metrics depend on
● Optimised SQL queries and data-preparation pipelines across Excel, Alteryx and SQL, speeding up report
turnaround for engagement teams
● Translated business requirements into structured reports for non-technical stakeholders, working to
fixed specifications and audit deadlines

Inforce
Data Analyst Jun 2025 – Aug 2025
● Analysed large relational databases with complex PostgreSQL queries to answer product and operational
questions from stakeholders
● Partnered with development teams to scope and build data-driven features, acting as the bridge between
business needs and engineering
● Delivered findings and recommendations that informed product and operational decisions

ANALYTICS PROJECTS
Steam Game Retention & Engagement Analysis GitHub
Python, Power BI, Google Sheets
● Analysed player retention and engagement across 1,000+ games, segmenting titles by behaviour to find
what drives long-term activity
● Built Power BI dashboards and A/B-style cohort comparisons that surfaced monetisation risks and
churn patterns
● Recommended retention levers and ways to reduce ROI risk for game publishers

IMDb Movie Trends Analysis GitHub
Google BigQuery, Python (pandas, NumPy, SciPy, seaborn)
● Queried 100M+ records in BigQuery to measure how ratings, genres and release volumes changed over
time
● Tested hypotheses statistically in Python (SciPy) and turned results into content-strategy
recommendations for streaming platforms

Ukrainian Road Accident Analysis GitHub
Google Sheets, Tableau, GeoJSON
● Designed interactive Tableau maps from official 2024 data to pinpoint high-risk regions and contributing
factors for policy and prevention work

EDUCATION
National Technical University “Kharkiv Polytechnic Institute” Kharkiv, Ukraine
BSc Computer Engineering 2019 – 2022

Professional Certificates (Coursera, Kaggle)
● Google Advanced Data Analytics; Google Data Analytics; Meta Data Analyst; IBM Data Analyst; Tableau
Business Intelligence Analyst; Machine Learning Specialization (Andrew Ng); Kaggle: Intro to Machine
Learning, Intro to Deep Learning