Risk Modelling
The project focused on analyzing loss factors in automobile insurance and developing a comprehensive risk modeling framework for AMI.
To better assess driver risk, Wimbee proposed integrating individualized behavioral data with historical claims and accident data from internal databases.
Our approach involved installing the Anaconda package, assessing internal data quality (clients, vehicles, driving history), conducting a descriptive analysis of risk factors, and implementing a predictive risk model based on claims history and insured profiles.
