Ярослав Veteran

Summary
Yaroslav
Data Analyst with hands-on experience in SQL, Python,
and BI tools, transforming raw data into actionable Chekhovych
insights to support business decisions. Experienced in
building scalable datasets, performing exploratory
data analysis(EDA) and statistical analysis, and
DATA ANALYST
developing interactive dashboards. Applies a
structured, results-driven approach to solving complex
analytical problems and delivering clear, data-driven
insights in fast-paced environments.

Experience

Data Analyst
01/2025 – Present
•Built and optimized scalable datasets from multiple
sources using SQL and Python (Pandas, NumPy),
ensuring data accuracy, consistency, and reliability.
•Conducted exploratory data analysis and statistical
modeling (sampling, hypothesis testing, correlation, [open contact info](look above in the "contact info" section)
statistical significance) to identify key business [open contact info](look above in the "contact info" section)
and product drivers.
•Applied A/B testing to evaluate product changes and Telegram
support data-driven decisions.
LinkedIn
•Developed interactive dashboards and visualizations
with Python (Matplotlib, Seaborn), Tableau, and Power GitHub
BI, delivering actionable insights to stakeholders.
Kyiv, Ukraine, /remote /relocate
•Automated reporting workflows and implemented data
governance practices, improving efficiency and
maintaining data integrity. Skills

Projects •Spreadsheets: Pivot Tables, Data
Cleaning, Visualization
Link to Project 1 •SQL: Advanced Queries, Window
Sales Data Analysis Functions, Query Optimization, Common
Analyzed e-commerce data using SQL, Python, and Table Expressions (CTE)
Tableau to identify key drivers of user behavior and •Python: Pandas, NumPy, Matplotlib,
revenue performance. Seaborn, Exploratory Data Analysis
Built scalable analytical datasets and conducted (EDA)
Tableau: Interactive Dashboards, Data
•

exploratory analysis to uncover conversion and sales •

drivers Storytelling, Publishing
Segmented users and traffic channels to identify •Power BI: Data Modeling, DAX,
Interactive Dashboards
•

high-impact opportunities for marketing optimization
Delivered actionable insights through Tableau •Statistics: Sampling, Hypothesis
Testing, Correlation, Statistical
•

dashboards to support product and business decisions
Significance
Link to Project 2 •A/B Testing: Planning, Analysis,
A/B Testing Statistical Significance Analysis Reporting
Evaluated product experiments using statistical •Other Tools: Jupyter Notebooks, Google
methods to measure impact on key conversion metrics. Analytics, Excel, Git
•Designed and automated statistical significance Languages: English (Intermediate)
testing (Z-test) for core funnel metrics (add-to-
cart, checkout conversion)

Analyzed experiment results across multiple
•
Education
dimensions (country, device), identifying
statistically significant effects
Data Analyst at Mate academy - 2025
Developed reusable analysis workflows to scale
Certificate
•

experimentation and support continuous product
iteration

Link to Project 3
Signal Session Analysis
Analyzed session-based signal data to identify
behavioral patterns, anomalies, and system performance
limitations.
•Transformed raw log data into structured session-
level datasets for scalable analysis
•Identified recurring signal patterns and anomalies to
support monitoring and diagnostics
•Assessed system performance and provided data-driven
recommendations to improve analytical capabilities

Previous Experience

"RIVA-STEEL" LLC Apr 2016-Nov 2022
•I have managerial experience production and warehouse
operations, improving process efficiency and on-time
delivery
•Optimized workflows using Lean principles, reducing
operational delays
•Managed inventory and logistics processes, ensuring
accuracy and minimizing discrepancies
•Implemented staff training programs, improving team
performance and process compliance