Bootcamp Completion Prediction: Pass/Fail Classification

What I built

• Performed data cleaning, preprocessing, and feature engineering by combining multiple datasets into a unified training dataset.
• Developed a K-Means clustering model to generate participant labels and trained a Random Forest classifier for pass/fail prediction.
• Analyzed feature importance to identify the factors that contributed most to bootcamp completion.
• Collaborated with a team to develop the solution, which was awarded 2nd Place in the MineToday 2025 Data Mining Competition.

Tech stack