Leveraging advanced mathematics and deep learning to build robust predictive models. Passionate about solving complex real-world problems through data and AI.
Master’s student in Machine Learning & AI at AGH with a BSc in Mathematics.
Experienced in data analysis at UBS, with technical skills in Python and SQL. Exceptionally hard-working, results-oriented, and ready to tackle complex technical challenges.
Passionate about leveraging an analytical foundation to understand and build robust predictive models in a professional environment.
AGH University of Krakow
Machine Learning & AI
B.Sc. Mathematics
Calculus, Probability & Linear Algebra
Professional experience at UBS
Python, SQL & Jira
Specialization: Machine Learning and AI
Relevance to ML: Strong foundation in Calculus, Linear Algebra, Probability Theory.
Engineered Machine Learning models in Python (scikit-learn, pandas) to forecast football match outcomes based on historical data. Executed advanced feature engineering, incorporating rolling averages for team form and head-to-head statistics to optimize model accuracy.
Developed a robust multi-agent ecosystem simulation in Java, utilizing Genetic Algorithms to model evolutionary processes, mutations, and survival strategies. Designed a complex Object-Oriented architecture to manage agent interactions and implemented real-time population statistics visualization.
Finalist in Europe's largest stationary hackathon.