Exploratory data analysis of a food delivery aggregator dataset to identify order trends, restaurant performance, and delivery efficiency. Provides actionable insights for operations and marketing.
Machine learning project predicting loan defaults using HMEQ dataset. Implements multiple classification algorithms (Logistic Regression, Decision Tree, Random Forest) with comprehensive EDA and model evaluation. Capstone project for MIT ADSP Program
Predictive modeling of bank customers to identify which users are most likely to accept personal loan offers. Helps in designing targeted marketing campaigns and increasing conversion rates.