Production-grade Causal Inference Engine using T-Learners (XGBoost) to optimize marketing ROI. Features: 3.2x Lift over random targeting, Behavior-Based Segmentation (Persuadables vs. Sleeping Dogs), and fully dockerized FastAPI/Streamlit architecture.
python docker machine-learning econometrics xgboost causal-inference uplift-modeling marketing-analytics policy-optimisation fastapi streamlit t-learner causal-ml behavioural-segmentation roi-optimisation
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Updated
Jan 22, 2026 - Python