A customer intelligence engine that predicts subscription probability, models purchase frequency, and computes a unified loyalty risk score. Includes explainability, segment insights, and a scenario simulator, all integrated into an interactive Streamlit dashboard.

data-science machine-learning scikit-learn business-intelligence feature-engineering predictive-modeling churn-prediction python-project customer-segmentation marketing-analytics explainable-ai customer-loyalty ml-pipeline risk-scoring streamlit-dashboard scenario-simulation retention-analytics subscription-modeling purchase-frequency

• Updated Dec 8, 2025
• Python

🔍 Analyze subscription loyalty risks with machine learning models and gain insights into customer retention and frequency patterns.

data-science machine-learning scikit-learn business-intelligence feature-engineering python-project customer-segmentation marketing-analytics explainable-ai customer-loyalty ml-pipeline risk-scoring streamlit-dashboard scenario-simulation retention-analytics subscription-modeling purchase-frequency

• Updated Feb 13, 2026
• Python