- Financial Vulnerability Assessment Project
- Spearheaded a 12-week project to develop a KNN (K-Nearest Neighbors) machine learning model aimed at forecasting financial risks based on demographic factors
- Led and mentored a team of 6 researchers, providing education on financial topics, Python fundamentals
- Developed an interactive educational platform to help users understand their financial risk profiles and make informed financial decisions
- Delivered a final presentation that included a comprehensive report, interactive dashboard, and fully
- Utilized libraries: pandas, NumPy, Matplotlib, Seaborn, Scikit-learn