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Олександр Ветеран
Аналітик
Контактна інформація
Шукач вказав телефон .
Прізвище, контакти та світлина доступні тільки для зареєстрованих роботодавців. Щоб отримати доступ до особистих даних кандидатів, увійдіть як роботодавець або зареєструйтеся.
Отримати контакти цього кандидата можна на сторінці https://www.work.ua/resumes/17246956/
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BIla Tserkva, Ukraine, remote, relocate Telegram LinkedIn
EDUCATION SUMMARY
National Aviation University, Bachelor I am a Data Analyst with practical experience in
chemical technology and engineering data extraction, processing, and visualization.
My technical toolkit includes SQL for database
2011 – 2021
management, Python (Pandas, Matplotlib) for
exploratory data analysis, and Tableau for
SKILLS building interactive dashboards. I have
successfully completed projects focused on
Spreadsheets sales performance and trend identification,
Pivot Tables, Data Cleaning, Visualization transforming raw data into actionable business
insights.
SQL My analytical approach is grounded in my
Advanced Queries, Window Functions, Query military background, where I mastered the
Optimization, Common Table Expressions (CTE) ability to analyze complex information, make
critical decisions, and deliver results under
Python pressure. By combining technical proficiency
Pandas, NumPy, Matplotlib, Seaborn, with strong discipline and attention to detail, I
Exploratory Data Analysis (EDA) provide companies with a reliable foundation
for data-driven decision-making.
Tableau
Interactive Dashboards, Data Storytelling, EXPERIENCE
Publishing
Data Analyst, Project 2 (Google sheets)
Statistics 2025 – Present
Sampling, Hypothesis Testing, Correlation,
This project focuses on analyzing sales data
Statistical Significance
•
across product categories, countries, regions,
and sub-regions using Google Sheets. Applied
A/B Testing
ABC analysis to classify products and created
Planning, Analysis, Reporting
visualizations of key metrics including
revenue, sales volume, and performance
Other Tools across geographical segments to support
Jupyter Notebooks, Google Analytics, Excel, Git data-driven decision-making.
Link to review
Languages
•
English (Pre-Intermediate) Data Analyst, Project 3 (Tableau Project)
11/2025 – 11/2025
SDLC (Software Development Life Cycle)
Waterfall, Agile concepts (Scrum, Kanban) This project involved importing data from
•
Google BigQuery to Tableau and creating
interactive dashboards visualizing mobile
ACHIEVEMENT device revenue by operating system (iOS,
Android) across different countries. The
Military Service analysis helps identify top-performing
2022 – 2024 platforms and regions for mobile revenue
Served in the Armed Forces of Ukraine during optimization.
the war against Russian aggression (2022- Link to review
•
2024)
Data Analyst, Project 4 (Python Project)
12/2025 – 12/2025
This Python project focused on data cleaning
•
and analysis using Pandas, Matplotlib, and
NumPy. Performed data preprocessing,
exploratory data analysis (EDA), and created
visualizations to extract valuable insights
about company performance and identify key
business trends.
Link to review
•
Analysis of sales products for 3 months
01/2026 – 01/2026
This project provides analytics for online store
sales, visualizing basic product sales indicators
in the necessary sections, using three tools:
SQL, Python, and Tableau.
Link to review
Data Analyst, Project 1 (SQL Project)
11/2025 – 11/2025
This project focuses on analyzing key metrics
•
by country and creating interactive
visualizations in Looker Studio to provide
clear insights for business decision- making.
Link to review
•
ADDITIONAL EDUCATION
Data Analyst course at Mate academy
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