Predictive Modeling for Customer Satisfaction in Insurance

Explore predictive modeling for customer satisfaction within the insurance industry, emphasizing its importance and goals. The presentation covers methodologies, addressing data challenges, and dives into the use of CatBoost and Ordinal Ridge models with SHAP for valuable insights. Conclude with actionable business recommendations, highlighting benefits of proactive strategies and the practical impact of deploying these models operationally.