I will develop customer churn prediction machine learning models insurance churn model

I WILL DEVELOP AN EFFECTIVE MACHINE LEARNING MODEL FOR YOU

Are you losing valuable policyholders or subscribers to competitors?

Customer retention is significantly cheaper than acquisition. I develop high-performance, robust Customer Churn Prediction Machine Learning Models tailored for insurance companies, SaaS platforms, and subscription businesses.

What I Deliver:

• End-to-End Data Pipeline: Advanced feature engineering, categorical encoding, outlier removal, and handling severe class imbalance (SMOTE / focal loss).
• High-Accuracy Algorithms: Training production-ready models using XGBoost, LightGBM, CatBoost, Random Forest, and neural networks.
• Explainable AI (XAI): Full SHAP & LIME interpretability analysis so your retention team knows why a customer is at risk.
• Threshold Optimization: Tuning decision thresholds using Precision-Recall (PR-AUC) and ROC-AUC curves for maximum business ROI.
• Interactive Deployment: Clean integration into interactive Streamlit web apps or RESTful FastAPI inference microservices.

Tech Stack: Python, Pandas, Scikit-Learn, XGBoost, LightGBM, SHAP, PyTorch, Streamlit.

Lets protect your revenue. Contact me today to discuss your dataset!