Семен Ветеран

Semen Bysko
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Kyiv t.me/semenbysko

Profile Skills
Highly motivated Data Analyst with solid expertise in SQL, SQL
Google Sheets/Excel, Python and visualization tools Advanced Queries, Window Functions, Query
(Tableau, Looker Studio). Skilled in managing full-cycle Optimization, CTE, Views, Temporary Tables, Nested
analytics projects — from hypothesis formulation and data Fields
cleaning to deep analysis, visualization, and delivering
actionable recommendations.Beyond technical expertise, I Google Sheets/Excel
bring strong soft skills shaped by military service. As a Pivot Tables, Data Cleaning, Visualization
former Squad Leader in the UAV Unit of the Armed Forces
of Ukraine, I developed the ability to stay calm and think Python
clearly under pressure, make responsible decisions in high- Pandas, NumPy, Matplotlib, Seaborn, Plotlty, Ipywidgets,
stakes situations, and lead a team effectively even in EDA
challenging conditions. This experience built my resilience,
sharpened my critical thinking, and strengthened my sense Tableau/PowerBI
of accountability — qualities I now apply in every analytical Interactive Dashboards, Data Storytelling, Publishing
project I work on.
Statistics
Sampling, Hypothesis Testing, Correlation, Statistical
Professional Experience Significance
volunteer Data Analyst A/B Testing
2025 | Kyiv Planning, Analysis, Reporting
Data Cleaning and Quality Analysis:
•Handling duplicates Other Tools
•Managing missing and empty values Jupyter Notebooks, Google Analytics, Git
•Data formatting Knowledge of SDLC, Waterfall, Agile concepts (Scrum,
•Standardizing data by case, language, and abbreviations Kanban)
Exploratory Data Analysis (EDA):
•Identifying general trends and patterns Projects
•Analyzing value distributions
•Detecting anomalies and investigating their causes Project 1 (SQL Projects), User behavior and activity
Core Analysis:
•Calculating and visualizing overall company metrics (both Project 2 (Tableau ,A/B test), Email Metrics Analysis
static and dynamic) Project 3 (Python Projects), Global sales analysis
•Calculating and visualizing metrics across relevant
dimensions (e.g., countries, categories) Project 4 (Python,SQL,Tableau), Geographical analysis
•Conducting in-depth multi-level aggregations (e.g.,
categories within each region)
Languages
•Identifying relationships and correlations between data
groups English
•Visualizing metric distributions across groups B2
•Performing ABC analysis based on the Pareto principle
Dashboard Development: Ukrainian
•Collecting and structuring key data from general to more Native
detailed levels
•Adding filters and parameters Education
•Designing clear and intuitive visual layouts
Conclusion and Insights: Bachelor Degree in psychology, Institution State
•Drawing conclusions about data quality and providing University of Trade and Economics / Kyiv National
improvement recommendations University of Trade and Economics.
•Offering suggestions for resource allocation 2019 – 2023 | Kyiv
•Recommending directions for further development
•Highlighting key existing issues
Courses
Data Analyst course at Mate academy
Kyiv