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TKACHUK OLEKSII
PYTHON DEVELOPER
Kyiv, Ukraine/ remote | [открыть контакты](см. выше в блоке «контактная информация») | Telegram | LinkedIn: Oleksii Tkachuk

SUMMARY
Motivated Software Engineer with one year of experience in development and data analysis. Implemented
context memory integration utilizing LTM and STM features, which significantly improved personalization and
overall user experience. Specializing in Python, modern system architecture, and AI integration (LLMs, RAG,
MCP). Focused on backend architecture and full-stack development, with a strong emphasis on writing clean,
SOLID-compliant code and designing modular applications. Combines technical expertise with proactive
leadership, team collaboration, and public speaking skills gained through the Student Council. Currently
studying Information Systems and Technologies at NTUU 'Igor Sikorsky KPI'.

TECHNICAL SKILLS

Python: Python 3.10+, Advanced Python (Decorators, Iterators, Generators), Asynchronous
Python (asyncio, Concurrency, Parallelism)
Algorithms and Data Structures: Algorithm complexity, Arrays, Linked Lists, Stacks, Queues,
Hash Maps, Hash Sets
Version Control & Collaboration: Git/GitHub
Development Tools: Debugging, Docker
Web Development Frameworks: Django, Django ORM, Django Rest Framework, FastAPI, Flask
Web Scraping & Data Analysis: Web Scraping (BeautifulSoup, Scrapy, Selenium), Data Analysis
(Pandas, Matplotlib, Tableau)
Web Technologies: HTML, CSS, JavaScript (Basics)
Databases: PostgreSQL, SQLite, Redis, MongoDB
Object-Oriented Programming (OOP): SOLID principles, Design patterns
Agent development: LangGraph, LangChain, ReACT, RAG, Embeddings, MCP
Machine Learning: Neural Networks, Classification, Machine Learning models
English: Upper-Intermediate

PROFESSIONAL EXPERIENCE

Data Analyst / AI Engineer at Fast Corporation November 2025 - June 2026
Analyzed the performance of multiple LLMs and identified that a lower-cost model performed
significantly better, leading to a 66.67% drop in API token costs.
Engineered an AI context assembly pipeline with implementation of Long-Term Memory (LTM) and
Short-Term Memory (STM) features (explicit/implicit memory), improving model context efficiency.
Analyzed regional subscription methods and payment rates through deep data exploration, driving
strategic product changes that increased company revenue.
Investigated daily product performance and A/B test results using AWS Athena and QuickSight,
identifying key event trends to inform data-driven decisions.
Data Analyst July 2025 - November 2025
Analyzing e-commerce sales data using SQL to aggregate metrics, segment customers, and identify
revenue trends.
Automating data cleaning and transformation with Python (Pandas, NumPy) for faster and more
accurate analysis.
Building interactive dashboards in Tableau to visualize KPIs and support data-driven decision-
making.
Creating reports in Google Sheets with formulas and pivot tables to track key performance
indicators.

PORTFOLIO

Data Analysis project – performed data cleaning, integration, and analysis on global sales data
from multiple sources. Explored key metrics, product performance, geographic trends, and shipping
times, creating visualizations and business insights in Google Colab.
Company Sales Analysis
E-commerce Analysis
A/B test results analysis

EDUCATION
2023 - present
National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
Bachelor’s Degree in Information Systems and Technologies

ADDITIONAL INFORMATION
Certifications: Data Analyst course at Mate academy, Python Developer course at Mate academy
Algorithmic Problem-Solving: Solved 200+ coding challenges on Codewars (reaching 4 kyu) using
Python, SQL, and C#
Student Council Member: Participated in organizing university events (including Olympiads),
coordinated activities among students, and contributed to decision-making processes
Charity Auction Presenter: Hosted and conducted several student auction, handling on-stage
presentation and preparation, raising up to 100,000 UAH for the military
Accomplished Agentic studio AI-Hackathon: 4 members of my team left just on the first day, and
continuing with only one colleague we managed to built a working prototype in 48 hours using
FastAPI and React.