Личные данные скрыты Ветеран

Oleksandr Golubchyk
Junior Data Analyst
Ukraine | [открыть контакты](см. выше в блоке «контактная информация») | [открыть контакты](см. выше в блоке «контактная информация»)
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SUMMARY
Junior Data Analyst Results-oriented analyst with 5+ years of experience in market research and
procurement analysis. Skilled in Python (Pandas), SQL, and Power BI for data visualization and reporting.
Proven track record of optimizing business processes and automating workflows at Ukrzaliznytsia and
UkrFA. Currently pursuing a Master’s in Computer Science (AI/ML) to combine domain expertise with
advanced data engineering techniques.
TECH STACK
• Programming & Data Analysis: Python (Pandas, NumPy, Scikit-learn, SciPy), SQL, JavaScript
(Basic/DOM).
• Visualization & BI: Power BI, Excel (Advanced), Matplotlib, Seaborn.
• Dev Tools & AI: Git, GitHub, FastAPI, VS Code/PyCharm/Spyder/ Google Colab, Prompt Engineering
(ChatGPT, Claude, Gemini), OpenAI.
• Automation: Make, Zapier (optional: API Integration).

EXPERIENCE
Officer, Armed Forces of Ukraine 02/2022 - 10/2025
• Conducted operational data analysis and reporting to support strategic decision-making in a high-
pressure environment.
• Leveraged Generative AI (ChatGPT) to automate routine analytical tasks and streamline
documentation processes.
• Processed and synthesized complex datasets from multiple sources into clear, structured daily
reports.
Procurement Manager – Ukrzaliznytsia (Ukrainian Railways) 04/2020 - 12/2021
• Optimized company procurement processes to improve efficiency and transparency.
• Automated email responses, reducing average daily workload by 1 hour.
• Visualized procurement KPIs using Power BI and Excel, identifying cost-saving opportunities..
• Visualization, analysis and monitoring of data using Power BI and Excel.

Data Analyst – Ukrainian Association of Ferroalloy Producers
and Other Electrometallurgical Products (UkrFA) 03/2019 - 04/2020
• Conducted market research and price analysis for ferroalloys and raw materials.
• Collected, analyzed, processed and visualization data using Power BI and Excel, authored analytical
reports and articles.
• Developed and maintained the organization’s website ukrfa.com.ua.

PROJECTS

Smart Personal Assistant (CLI) | Python, OpenAI API
• Objective: Developed a feature-rich console application for efficient personal data management,
simulating a lightweight CRM system functionality.
• Technical Implementation: Integrated OpenAI API to enhance user interaction and implemented
Pickle for efficient data serialization and local storage. Used Rich library to create a structured visual
interface.
• Result: Delivered a robust tool enabling full CRUD operations (Create, Read, Update, Delete) for
contacts and notes, featuring advanced filtering by tags and data persistence.

Real Estate Price Prediction | Python, Scikit-learn
• Objective: Developed a predictive model to estimate property market values, simulating a real-world
investment analysis tool.
• Analysis: Conducted in-depth Exploratory Data Analysis (EDA) using Pandas and Seaborn to identify
key correlations and price drivers in the housing market.
• Result: Built an optimized regression pipeline that achieved high prediction accuracy (verified via
RMSE/R2), demonstrating full-cycle data processing skills from raw data to insights.

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