Predicting Accident Risk for Future Policyholders

Used current customer data and a random forest model to predict whether a future policyholder would have an accident within the next year. The team won the case.

Client: Generali
Format: Business Deep Dive
Duration: 3 weeks

InsuranceMachine LearningRandom Forest

Business Context

The case focused on predicting accident risk for prospective policyholders.

Strategic Problem

Can data on current customers predict whether a future policyholder will have an accident within a year?

Data Sources

Data on Generali's current customers.

Methodology

Machine learning with a random forest model.

Key Results

The team won the case.

Tools & Stack

Machine LearningRandom Forest

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