End-to-end motor insurance analytics project using a two-stage (hurdle) modeling approach to predict claim occurrence and claim severity. Combines business analysis, machine learning, and risk insights to support underwriting, pricing, and claims optimization in General (P&C) Insurance.
python data-science machine-learning scikit-learn xgboost predictive-modeling underwriting business-analytics kaggle-project motor-insurance risk-modeling claims-management insurance-analytics claims-prediction consulting-analytics actuarial-analytics
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Updated
Dec 22, 2025 - Jupyter Notebook