Propensity model training with XGBoost
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Sep 10, 2024 - Python
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propensity-modeling
Here are 6 public repositories matching this topic...
This project segments Starbucks customers using transaction and offer data. Through preprocessing, feature engineering, and clustering (K-Means), it identifies distinct customer groups, providing insights to personalize marketing, improve engagement, and boost customer retention.
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Aug 17, 2025 - HTML
A self-hosted BigQuery ML pipeline that predicts purchase propensity from GA4 events and pushes the result back to GA4 as a user property via the Measurement Protocol. Built for Google Ads remarketing. Consent-aware, cost-capped, and production-hardened.
propensity-scores propensity-score propensity propensity-models propensity-modelling propensity-scoring propensityscore propensity-modeling ga4-ecommece ga4-ecommerce-data-analysis
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May 14, 2026 - Python
Predicts which dormant B2B clients will reactivate if contacted. End-to-end ML pipeline turns 2M transactions into a campaign-ready priority list via Extra Trees + RFM feature engineering. Delivers 3.4× lift over random outreach. Python, scikit-learn, XGBoost.
machine-learning scikit-learn xgboost b2b feature-engineering churn-prediction customer-analytics propensity-modeling
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Apr 20, 2026 - Jupyter Notebook
Propensity scoring model for user conversion prediction
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Dec 30, 2025 - Python
ML-powered channel optimization engine for pharma sales reps. Engagement-based NBA with XGBoost propensity models, Streamlit dashboard, and synthetic data for the German pharma market.
python machine-learning healthcare xgboost pharma streamlit channel-optimization next-best-action propensity-modeling sales-optimization
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Feb 28, 2026 - Jupyter Notebook
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