Predicting Insurance Claims

• Tech Stack: Tensorflow, Python, numpy, keras, pandas, PySpark

This project employs advanced machine learning algorithms to predict vehicle insurance claim amounts, optimizing claim assessment processes and enhancing operational efficiency.

By automating data analysis and identifying key drivers of claim costs, it minimizes processing times, mitigates fraud risks, and improves financial forecasting.

Core technologies include Python, regression models, and data visualization techniques, enabling actionable insights and fostering improved customer satisfaction through expedited claim resolutions.