A two-day event where participants competed across three different tracks. These tracks focused on aspects of coding, innovation, and problem-solving. The hackathon provided hands-on experience with workshops, mentorship, and networking opportunities.
A team was formed through an online forum over our interest in data science and applying our novice coding skills. We decided to take part in the third track which included analyzing past olympics data to predict who would win in the 2024 Paris Olympics.
Skills: Python, NumPy, Pandas, Matplotlib, VScode, github, google colab
Time frame: July 2024
Furter Description:
My role in the team was the project manager. We analyzed a dataset of over 11,000 athletes from the 2021 Tokyo Olympics using NumPy and Pandas to derive predictive insights. We initially built and tested a linear regression model, then transitioned to a random forest regressor, improving model accuracy by 20%. Additionally, I designed and implemented data visualizations to effectively present the findings, which were showcased on a custom-built website. This hands-on project enhanced my skills in data analysis, machine learning, and data visualization.