Олег

OLEH GUMENNYI
Oxford, UK | [відкрити контакти](див. вище в блоці «контактна інформація») | [відкрити контакти](див. вище в блоці «контактна інформація»)
LinkedIn | GitHub
PROFESSIONAL SUMMARY
Results-driven Computer Science graduate with demonstrated expertise in machine learning, full-stack development, and systems
engineering. Built production-grade applications spanning ML pipelines (85% accuracy on 10K+ records), inventory management systems
for commercial clients, and Android mobile apps from concept to deployment. Combines strong algorithmic thinking with practical software
engineering skills across Python, Kotlin, JavaScript, and SQL. Multilingual professional (English, Ukrainian, Polish, Russian) with a passion
for building scalable, impactful software solutions.

TECHNICAL SKILLS
Languages: Python, Kotlin, JavaScript, SQL, HTML5/CSS3, C#, Java
AI / Machine Learning: Scikit-learn, Neural Networks, NLP, Supervised & Unsupervised Learning, Reinforcement Learning, Clustering.
Web & Mobile: Android SDK, REST APIs, Bootstrap, Responsive Design, CSS Grid/Flexbox
Data & Databases: SQL (PostgreSQL, SQLite), Data Mining, Statistical Modelling, Big Data Analytics, Pandas, NumPy, Excel
DevOps & Tools: Git/GitHub, Linux, CI/CD Concepts, Agile/Scrum, Unit Testing
Security: Cryptography, SQL Injection Analysis, Port Scanning, Packet Sniffing, Network Security

EDUCATION
BSc Computer Science Swansea University Jun 2026
•Artificial Intelligence: Symbolic AI, multi-agent systems, knowledge representation, NLP, expert systems, ethical AI frameworks
•Big Data & Machine Learning: End-to-end ML pipelines, dimensionality reduction, neural networks on large-scale datasets
•Cryptography & IT Security: Real-world vulnerability analysis including SQL injection, port scanning, encryption protocols
•Mobile Development: Android application design and deployment using Kotlin, Android SDK
Computer Science (International Foundation Year) University of Manchester Jun 2023

PROJECTS
EndLifeDebt —Financial Calculator Platform
Visit: www.endlifedebt.online
Next.js, React, TypeScript, Tailwind CSS, Vercel, Google Analytics, Google AdSense
▪ Designed, developed, and launched endlifedebt. online — a full-stack personal finance platform that translates loan costs into hours
of a user’s life, providing a unique emotional perspective on debt
Machine Learning Pipeline for Predictive Analytics
Python, Scikit-learn, Pandas, NumPy, Neural Networks
• Engineered an end-to-end ML pipeline processing 10,000+ records through data ingestion, cleaning, feature engineering, model
training, and evaluation stages
• Applied PCA and t-SNE for dimensionality reduction, reducing feature space by 60% while preserving 95% of variance, achieving
85% classification accuracy
Inventory Management System
Python, SQL, REST API – Food Distribution Company, Ukraine
• Designed and delivered a full-stack inventory management system for a commercial food company, replacing manual spreadsheet
workflows and reducing stock discrepancies by an estimated 40%
• Architected a normalised relational database (3NF) with 15+ tables handling product catalogues, real-time stock levels, supplier
records, purchase orders, and transaction histories
Personal Productivity & Health Suite
Kotlin, Android SDK, MVVM Architecture
• Developed a multi-feature system including a Financial Tracker, Sleep Cycle Planner, and Nutrition Scorer.
Blockchain Scalability Research
Research Project – Layer-1 Networks
• Conducted in-depth research on efficiency optimisation for Bitcoin and Ethereum, benchmarking transaction throughput (TPS) and
gas cost constraints
• Evaluated Layer-2 scaling solutions (Optimism, zkSync rollups) through computational performance modelling and economic
viability analysis
EXPERIENCE
Bartender Jun 2024 – Present
Parsonage Grill Restaurant & Bar, Oxford
• Manage 50+ customer interactions per shift in a high-volume environment, maintaining 95%+ satisfaction ratings through service
• Coordinate with kitchen and management teams to streamline order workflows during peak service periods
Bartender Jun 2023 – Sep 2023
Mollie’s Diner, Oxford
• Served 100+ customers daily during peak hours, demonstrating strong multitasking, prioritisation, and time management
Sales Assistant Jun 2022 – Sep 2022
Bibury Trout Farm, Bibury
• Processed transactions and maintained inventory accuracy in fast-paced retail environment.
CERTIFICATIONS & PROFESSIONAL DEVELOPMENT
• Google Project Management Professional Certificate – Project lifecycle, Agile/Scrum, stakeholder management, risk analysis
• Meta HTML and CSS in Depth – Advanced responsive layouts, Bootstrap UI framework, debugging and performance tools
• Google Fundamentals of Digital Marketing – Campaign strategy, SEO, analytics, and conversion optimisation
• Cisco Networking Academy – TCP/IP, network architecture, routing, and switching fundamentals
• JPMorgan Chase Virtual Analyst – DCF modelling, M&A analysis, WACC calculations, scenario modelling
• HSBC Global Banking & Markets Virtual Analyst – Debt capital markets analysis and market trend identification
• Financial Modelling (Ugen Challenge) – Financial planning, budget analysis, and financial structure modelling
LANGUAGES & INTERESTS
Languages: English (Fluent), Ukrainian (Native), Polish (Intermediate), Russian (Fluent)
• Attended 2024 Barcelona Web3FC Conference (Chain-Agnostic, 3rd Edition)
• Active in University Volleyball Team and Karate Club; completed 2022 Le Tour de Farcycles 50-mile cycling marathon