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Data analyst
Considering positions:
Data analyst, Data engineer, Дата-аналітик, Data scientist
City of residence:
Kyiv
Ready to work:
Remote
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Oleksandr Golubchyk
Ukraine | [open contact info ](look above in the "contact info" section) | [open contact info ](look above in the "contact info" section)
[open contact info ](look above in the "contact info" section)
Junior Data Analyst (Python, SQL, Power BI, Tableau)
SUMMARY
Results-driven Data Analyst with 5+ years of experience in processing complex datasets and optimizing
workflows in high-pressure environments (Logistics, Military). Proficient in SQL (complex queries),
Python (Pandas), and data visualization (Power BI, familiar with Tableau). Passionate about the gaming
industry and eager to apply analytical skills to interpret player behavior, optimize game metrics
(Retention, LTV), and support data-driven decision-making in a product team. Currently pursuing a
Master's in Computer Science (AI/ML).
TECH STACK
• Data Analysis & Manipulation: Python (Pandas, NumPy, Scikit-learn), SQL (Joins, Aggregations,
Subqueries), Excel (Pivot Tables, Power Query).
• Visualization: Power BI, Tableau, Matplotlib, Seaborn.
• Product & Game Metrics (Theory): DAU/MAU, Retention, LTV, ARPU, Cohort Analysis, Funnel
Analysis.
• Automation & AI: OpenAI API integration, n8n, Make, Zapier, Python Scripting.
• Tools: Git, Jupyter Notebook, VS Code.
EXPERIENCE
Officer, Armed Forces of Ukraine 02/2022 - 10/2025
• Collected and consolidated unstructured data from multiple sources to generate daily strategic
reports for command centers.
• Analyzed operational metrics to identify trends and support high-pressure decision-making.
• Utilized Generative AI to automate the summarization of textual reports, increasing processing
speed by 30%.
Procurement Manager – Ukrzaliznytsia (Ukrainian Railways) 04/2020 - 12/2021
• Analyzed procurement data to identify cost-saving opportunities and optimize supply chain
efficiency.
• Designed and maintained Power BI dashboards to visualize Key Performance Indicators (KPIs) for
management.
• Developed automation scripts (Python/Macros) for email processing and reporting, saving ~5 hours
of manual work weekly.
Data Analyst – Ukrainian Association of Ferroalloy Producers
and Other Electrometallurgical Products (UkrFA) 03/2019 - 04/2020
• Conducted market research, price analysis, and forecasting for raw materials.
• Cleaned and validated statistical data for external industry reports using Excel (Advanced).
• Managed data content updates for the organization's web portal.
PROJECTS
Real Estate Price Prediction (Data Analysis & ML) | Python, Pandas, Seaborn
• Performed comprehensive Exploratory Data Analysis (EDA) to identify price drivers in the housing
market.
• Cleaned and preprocessed raw datasets (handling missing values, outliers) for accurate modeling.
• Visualized correlations using Seaborn/Matplotlib to derive actionable insights.
Smart Personal Assistant (CLI Tool) | Python, SQL logic, API
• Developed a CRM-like tool for contact management with full CRUD functionality.
• Implemented data storage logic and integrated OpenAI API for natural language processing.
EDUCATION
Neoversity. IT School GoIT & Woolf University Master of Computer Science
Specialization Artificial Intelligence and Machine Learning 2025 - now
Kyiv National University of Economics
Master of Finance 2003 - 2005
National Technical University of Ukraine "Kyiv Polytechnic Institute"
Environmental Engineer 1998 - 2004
CERTIFICATES
MACS (Marketing Automation School) courses – “AI-Expert”, “Marketing Automation”, GoIT courses –
“AI Marketing Automator” (in progress).
LANGUAGES
English – B1 Ukrainian, Russian – fluent
Ukraine | [
[
Junior Data Analyst (Python, SQL, Power BI, Tableau)
SUMMARY
Results-driven Data Analyst with 5+ years of experience in processing complex datasets and optimizing
workflows in high-pressure environments (Logistics, Military). Proficient in SQL (complex queries),
Python (Pandas), and data visualization (Power BI, familiar with Tableau). Passionate about the gaming
industry and eager to apply analytical skills to interpret player behavior, optimize game metrics
(Retention, LTV), and support data-driven decision-making in a product team. Currently pursuing a
Master's in Computer Science (AI/ML).
TECH STACK
• Data Analysis & Manipulation: Python (Pandas, NumPy, Scikit-learn), SQL (Joins, Aggregations,
Subqueries), Excel (Pivot Tables, Power Query).
• Visualization: Power BI, Tableau, Matplotlib, Seaborn.
• Product & Game Metrics (Theory): DAU/MAU, Retention, LTV, ARPU, Cohort Analysis, Funnel
Analysis.
• Automation & AI: OpenAI API integration, n8n, Make, Zapier, Python Scripting.
• Tools: Git, Jupyter Notebook, VS Code.
EXPERIENCE
Officer, Armed Forces of Ukraine 02/2022 - 10/2025
• Collected and consolidated unstructured data from multiple sources to generate daily strategic
reports for command centers.
• Analyzed operational metrics to identify trends and support high-pressure decision-making.
• Utilized Generative AI to automate the summarization of textual reports, increasing processing
speed by 30%.
Procurement Manager – Ukrzaliznytsia (Ukrainian Railways) 04/2020 - 12/2021
• Analyzed procurement data to identify cost-saving opportunities and optimize supply chain
efficiency.
• Designed and maintained Power BI dashboards to visualize Key Performance Indicators (KPIs) for
management.
• Developed automation scripts (Python/Macros) for email processing and reporting, saving ~5 hours
of manual work weekly.
Data Analyst – Ukrainian Association of Ferroalloy Producers
and Other Electrometallurgical Products (UkrFA) 03/2019 - 04/2020
• Conducted market research, price analysis, and forecasting for raw materials.
• Cleaned and validated statistical data for external industry reports using Excel (Advanced).
• Managed data content updates for the organization's web portal.
PROJECTS
Real Estate Price Prediction (Data Analysis & ML) | Python, Pandas, Seaborn
• Performed comprehensive Exploratory Data Analysis (EDA) to identify price drivers in the housing
market.
• Cleaned and preprocessed raw datasets (handling missing values, outliers) for accurate modeling.
• Visualized correlations using Seaborn/Matplotlib to derive actionable insights.
Smart Personal Assistant (CLI Tool) | Python, SQL logic, API
• Developed a CRM-like tool for contact management with full CRUD functionality.
• Implemented data storage logic and integrated OpenAI API for natural language processing.
EDUCATION
Neoversity. IT School GoIT & Woolf University Master of Computer Science
Specialization Artificial Intelligence and Machine Learning 2025 - now
Kyiv National University of Economics
Master of Finance 2003 - 2005
National Technical University of Ukraine "Kyiv Polytechnic Institute"
Environmental Engineer 1998 - 2004
CERTIFICATES
MACS (Marketing Automation School) courses – “AI-Expert”, “Marketing Automation”, GoIT courses –
“AI Marketing Automator” (in progress).
LANGUAGES
English – B1 Ukrainian, Russian – fluent
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The candidate's resume is posted at https://www.work.ua/resumes/16942015/