Customer Analytics and Predictive Marketing App

Engineered an end-to-end ML pipeline featuring robust median imputation, custom feature engineering, and K-Means Clustering to segment a 2,240-customer demographic dataset.

Trained 5 classification models (Random Forest, SVC, KNN, etc.) to predict campaign acceptance, deploying the champion model into a live Streamlit UI for real-time inference.