Data-driven fundraising strategy for a nonprofit foundation utilizing machine learning to identify high-potential donors.
- Conducted data analysis and cleaning to duplicate total entries and ensure high-quality input for Python ML models.
- Developed and trained decision tree models to predict donation amounts and calculate donation probabilities.
- Achieved top rankings on the leaderboard by maximizing fundraising outcomes and reflecting effective donor selection.