Client: Leading life insurance provider
BFSI players often collect data from multiple data sources and struggle with collating the entire data to
BluePi has built a machine learning-based Customer Risk Profiling system.
The primary objective is achieved by segmenting customers as high risk, medium risk and low-risk customers based on parameters like demographics, education, health details, policy attributes, etc
The data was stored on S3 and the algorithm being used to solve the problem was implemented and trained on EMR using that data
The model helped client to:
AWS services used: EC2, S3, Redshift, EMR, Glue