E-commerce Conversion Prediction

Purchase conversion prediction using XGBoost on 12K+ browsing sessions. Includes SHAP analysis, funnel/cohort SQL, and a Streamlit ROI simulator.

Overview

Predicts whether a browsing session will convert to a purchase, using 12K+ sessions of e-commerce data.

Funnel and cohort analysis in SQL. SHAP values explain model decisions. Streamlit app simulates campaign ROI based on model predictions.

Python, XGBoost, SHAP, Streamlit, SQL, Pandas.