Valentyn Veteran

VALENTYN ABOUT ME
Data Analyst with practical experience in SQL, Python, Tableau,

FEDYK
and BigQuery, focused on analyzing user behavior, conversion
funnels, and business performance.
Built end-to-end analytics projects using real datasets,
DATA ANALYST including EDA, A/B testing, and statistical analysis.
Experienced in data cleaning, building dashboards, and
extracting actionable insights.

CONTACT Background in logistics and professional poker strengthened
analytical thinking, decision-making under uncertainty, and
working with large datasets.
[open contact info](look above in the "contact info" section)

[open contact info](look above in the "contact info" section) WORK EXPERIENCE
Telegram
Data Analyst 2025 – 2026
LinkedIn
Self-employed
GitHub • Analyzed user behavior and conversion funnels using SQL and
Python
Chernivtsi, Ukraine | Remote / On-site
• Performed data cleaning and exploratory data analysis (EDA)
• Built dashboards in Tableau to track key business metrics
SKILLS • Conducted A/B testing and statistical analysis
• Wrote complex SQL queries (JOINs, CTEs, window functions)
Data Tools & Technologies:
• Delivered insights to support business decisions
SQL (JOINs, GROUP BY, CTEs, Window Functions)
Python (Pandas, NumPy, Matplotlib, Seaborn) Professional Poker Player 2020 – 2025
Tableau
BigQuery • Analyzed large datasets to improve decision-making and
Excel, Google Sheets profitability
• Applied statistical and probabilistic models in real-time
Analytics & Statistics: scenarios
Data Cleaning • Tracked and evaluated 2000+ performance metrics
Exploratory Data Analysis (EDA) • Made data-driven decisions under uncertainty
A/B Testing • Improved long-term profitability through analytical strategies
Hypothesis Testing
Logistics Business Owner 2015 – 2020
Statistical Significance
Correlation • Managed transportation operations across Ukraine
• Coordinated up to 20 daily shipments
Methodologies: • Analyzed revenue, costs, and profitability
SDLC • Optimized routes to reduce costs and improve efficiency
Waterfall • Built simple financial models for decision-making
Agile (Scrum, Kanban)
PROJECTS
LANGUAGE
English — Intermediate (B1) ONLINE STORE ANALYTICS
• Analyzed user behavior and conversion funnel
EDUCATION • Identified drop-off points and improvement opportunities
Chernivtsi College of • Performed A/B testing analysis
Economics and Management • Built dashboard to track user metrics

Specialist Degree in Commodity Science and SALES ANALYSIS
Commercial Activity
• Analyzed revenue, profit, and shipping performance
Interregional Academy of • Identified key drivers affecting sales
Personnel Management (MAUP) • Built reports to support business decisions

Management A/B TESTING & FUNNEL
Mate academy • Analyzed funnel: send → open→ visit
Data Analyst Course • Identified bottlenecks in user journey
• Suggested improvements to increase conversion