Life Insurance Provider






Machine Learning

Customer Profile

Leading life insurance provider

Problem Statement

BFSI players often collect data from multiple data sources and struggle with collating the entire data to

  • Get a 360-degree view of the customer
  • Calculate their risk averseness. Understanding how risky is each customer is important to pitch them relevant products, detect frauds, etc.
  • BluePi�s Solution
  • 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

  • Value Added

    The model helped client to:

  • Propose the right solution to the customer based on his/her risk score
  • Run targeted marketing and outreach campaigns

  • AWS Service used

    EC2, S3, Redshift, EMR, Glue

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