End-to-end uplift modeling pipeline for customer retention using T-Learner and X-Learner with XGBoost. Includes AUUC/Qini evaluation, SHAP interpretability, and business profit optimization.

Code library for training causal inference deep learning models with automatic hyperparameter optimization written in Tensorflow 2.

Causal Decision Intelligence Engine - 16-cell pipeline with Multi-Agent Debate REST API and Interactive Dashboard