Mykhailo

MYKHAILO TURCHYNIUK
DATA ANALYST [открыть контакты](см. выше в блоке «контактная информация»)

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[открыть контакты](см. выше в блоке «контактная информация»)

PROFILE
Data Analyst with hands-on experience in SQL, Python, Tableau, and statistical analysis, including A/B testing. Built
end-to-end analytical projects involving data extraction, cleaning, exploratory analysis, and visualization to generate
business insights.
Experienced in analyzing sales performance, user behavior, and marketing channels, identifying key trends and revenue
drivers. Strong foundation in economics from Kyiv National Economic University, supporting analytical thinking and data-
driven decision-making.
Focused on applying data analysis to solve business problems and continuously developing technical and analytical
skills.

SKILLS
WORK EXPERIENCE
Data Analyst Spreadsheets: Pivot Tables, Data Cleaning, Visualization
(Sep 2025 – Present) SQL: Advanced Queries, Window Functions, Query Optimization,
Self-Employed
Common Table Expressions (CTE)
Performed data extraction and transformation Python: Pandas, NumPy, Matplotlib, Seaborn, Exploratory Data
using SQL (BigQuery), including complex joins, Analysis (EDA)
aggregations, and data filtering.
Текст абзацу

Tableau: Interactive Dashboards, Data Storytelling, Publishing
Cleaned and preprocessed datasets (handling Statistics: Sampling, Hypothesis Testing, Correlation, Statistical
missing values, duplicates, and data Significance
inconsistencies). A/B Testing: Planning, Analysis, Reporting
Conducted exploratory data analysis (EDA) to Other Tools: Jupyter Notebooks, Google Analytics, Excel, Git
identify patterns, trends, and anomalies.
Built data visualizations using Python (matplotlib, Portfolio:
seaborn) and Tableau dashboards.
Project 1: E-commerce Sales Analytics – Analyzed sales
Applied statistical methods to analyze data and
performance by category, country, and channel; built dashboards
validate hypotheses.
and visualizations. Stack: SQL, Python, Tableau
Performed A/B testing analysis, including
Project 2: User Activity & Email Engagement – Analyzed user
hypothesis testing and conversion rate
behavior and email interactions across countries; performed
evaluation.
segmentation and behavioral analysis. Stack: SQL (BigQuery),
Worked with user behavior data, segmentation,
Python
and cohort analysis.
Project 3: Data Cleaning & Exploratory Analysis – Cleaned raw
Generated business insights and data-driven
datasets, handled missing values and duplicates, performed EDA,
recommendations.
and identified trends and anomalies. Stack: Python (pandas,
numpy)
Postal Branch
Manager ( May 2022 – Dec 2025 ) LANGUANGE
Nova Poshta - Kyiv English(Intermediate B1)
Ukrainian(Native or bilingual proficiency)
Coordinated daily workflows and task
distribution to ensure efficient and consistent
order processing EDUCATION
Monitored operational performance, identified
issues, and resolved them in real time to BACHELOR DEGREE IN MANAGEMENT OF BUSINESS
maintain service quality and customer ORGANIZATIONS
satisfaction
Supported stable team performance in a fast- Kyiv National Economic University named
paced environment while applying structured after Vadym Hetman
problem-solving and developing strong 2023 - 2025
communication skills
DATA ANALYST COURSE
Data Analyst course at Mate academy