Hari Naryanan

Hari is currently a Senior Data Scientist at dotData. As a customer-facing data scientist, he works in use cases involving the automotive, healthcare, retail, and insurance industries. Before joining dotData, he worked for top-tier OEMs including General Motors and Ford. He has published patents and publications and is also a recipient of the Technical Excellence Award at Ford. Together, he brings eight years of experience in the Automotive and Software industry. He has developed solutions for use cases involving Predictive Maintenance, Content Optimization, Inventory Optimization, Machine Life Optimization, and Customer Risk Prediction. Hari has received his Master's degree in Industrial Engineering from Clemson University, specializing in Operations Research and Advanced Statistics.

Automated Feature Selection Methods to Assess Client Risk

In industries like Financial Services, Housing, and Insurance, the automated scoring of client risk can provide critical benefits. By quantifying…

3 years ago