I’m a Computer Science major with a Math minor, passionate about applying machine learning and data science to motorsports. From analyzing race strategies to predicting podium finishes, I love uncovering insights that drive performance and decision-making in F1.

What I Do: Predicting race outcomes using machine learning models like Random Forest. Analyzing driver performance with lap time, telemetry, and weather data. Optimizing pit stop strategies by simulating race conditions. Applying NLP & sentiment analysis to F1 social media trends.

Why Motorsport? Data is the backbone of modern F1 teams, influencing everything from aerodynamics to in-race decisions. My goal is to combine my love for F1, machine learning, and analytics to contribute to data-driven performance strategies in motorsports.

What’s Next? I’m actively building my F1 data science portfolio and seeking opportunities in sports analytics, motorsport data, and performance strategy roles. Let’s connect if you share the same passion for data-driven racing! All of my projects are available at (https://codingwithbertina.framer.website/)

Let’s Talk: If you're interested in F1 analytics, ML in sports, or data-driven strategies, I'd love to chat! Feel free to connect and discuss ideas. How to reach me bertina@ualberta.ca