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Mykhailo

Data analyst

Вік:
22 роки
Місто проживання:
Вишгород
Готовий працювати:
Дистанційно

Контактна інформація

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MYKHAILO TURCHYNIUK
DATA ANALYST [відкрити контакти](див. вище в блоці «контактна інформація»)

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[відкрити контакти](див. вище в блоці «контактна інформація»)

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, Experiment Design,
Conducted exploratory data analysis (EDA) to Conversion Rate Optimization (CRO)
identify patterns, trends, and anomalies. Marketing & Product Analytics:
Built data visualizations using Python (matplotlib, Performance Marketing Metrics (ROAS, LTV, CPM, CPA),
seaborn) and Tableau dashboards. Conversion Funnels, Cohort Analysis, Retention Analysis,
Applied statistical methods to analyze data and Customer Segmentation, CAC Analysis
validate hypotheses. Other Tools: Jupyter Notebooks, Google Analytics, Excel, Git
Performed A/B testing analysis, including
hypothesis testing and conversion rate
Portfolio:
Project 1: E-commerce Sales Analytics – Analyzed sales
evaluation.
performance by category, country, and channel; built dashboards
Worked with user behavior data, segmentation,
and visualizations. Stack: SQL, Python, Tableau
and cohort analysis.
Project 2: User Activity & Email Engagement – Analyzed user
Generated business insights and data-driven
behavior and email interactions across countries; performed
recommendations.
segmentation and behavioral analysis. Stack: SQL (BigQuery),
Python
Postal Branch Project 3: Data Cleaning & Exploratory Analysis – Cleaned raw
Manager ( May 2022 – Dec 2025 ) datasets, handled missing values and duplicates, performed EDA,
and identified trends and anomalies. Stack: Python (pandas,
Nova Poshta - Kyiv numpy)
Coordinated daily workflows and task LANGUANGE
distribution to ensure efficient and consistent English - B1 Intermediate
order processing Ukrainian - Native
Monitored operational performance, identified
issues, and resolved them in real time to EDUCATION
maintain service quality and customer
BACHELOR DEGREE IN MANAGEMENT OF BUSINESS
satisfaction
ORGANIZATIONS
Supported stable team performance in a fast-
paced environment while applying structured Kyiv National Economic University named
problem-solving and developing strong after Vadym Hetman
communication skills 2023 - 2025

DATA ANALYST COURSE
Data Analyst course at Mate academy

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