I am Kacper Kowalski
Data Science & Artificial Intelligence Undergraduate Student
About me
I am a Data Science & Artificial Intelligence undergraduate with hands-on experience building machine learning and reinforcement learning projects in Python. My work focuses on correct problem formulation, state and feature design, evaluation methodology, and reproducible experiments.
I have built projects including a tabular Q-learning Snake agent, an end-to-end heart disease prediction pipeline with leakage prevention and explainability, and a thermodynamic jet engine performance simulator. I am seeking graduate or entry-level roles where I can contribute to real ML and data-driven systems while continuing to develop under experienced engineers.
Projects
Retail Analytics Platform
End-to-end data pipeline with PostgreSQL, advanced SQL, and Power BI delivering customer insights and revenue analysis.
Reinforcement Learning Snake Game
Tabular Q-learning agent trained on a custom Snake environment with clear performance metrics.
Heart Disease Prediction AI Model
End-to-end ML pipeline focused on leakage prevention, imbalance handling, and explainability.
CIB Business Website
Team-built responsive business site with clear navigation and client-focused UX.
Private Client Project
Contact
Skills & Technologies
Programming
- Python (data preprocessing, ML pipelines, data analysis, RL environments)
- SQL (CTEs, window functions, query optimization, data manipulation)
- Java (coursework, data structures)
- JavaScript, HTML/CSS (web development)
Machine Learning & Analytics
- Supervised learning (classification, evaluation, imbalance handling)
- Reinforcement learning (tabular Q-learning, environment design)
- Feature engineering & data preprocessing (Pandas, NumPy)
- Cohort analysis, CLV modelling, statistical metrics
Data Science & BI Tools
- Power BI (dashboard design, DAX, data visualization)
- PostgreSQL (relational design, referential integrity, optimization)
- NumPy, Pandas (data manipulation & analysis)
- Matplotlib, Seaborn (visualization)
- Scikit-learn (modeling & evaluation)
- Jupyter Notebooks (experimentation & documentation)
Development & Version Control
- Git & GitHub (version control)
- VS Code, PyCharm, Power BI Desktop
- Command line & scripting
Work Experience
Crew Member - McDonald's
As a Crew Member at McDonald's, I work in a fast-paced environment handling customer service, food preparation, and teamwork to ensure smooth operations. I have developed strong multitasking skills, the ability to work under pressure, and excellent communication with both customers and colleagues.
Office Clerk - DB Facades
During my time as an Office Clerk at DB Facades, I provided administrative support, including document management, data entry, and communication tasks. I gained experience in office software, organization, and maintaining company records, improving efficiency in daily operations.
Education
Data Science and AI Degree
Bournemouth University
Expected: First Class
Relevant Coursework:
- Deep Learning
- Machine Learning
- Big Data Engineering
- Data Structures and Algorithms
- Computability and Complexity
- Data Visualisation
Computer Science BTEC
Andover College
Grade: Distinction
Certifications
- Google Data Analytics