Chetan Bhat

Title: Chetan Bhat: Inventor in Customer Analytics

Introduction

Chetan Bhat is an inventor based in Bengaluru, India, whose work focuses on data-driven methods for customer analytics and business decision-making. He is associated with Freshworks, Inc. His listed portfolio includes 2 patents.

Latest Patents

Bhat’s listed inventions address customer churn prediction and the handling of labels in deal-related data.

“Predicting Customer Churn from Multi-Product Data” describes collecting customer journey data from multiple platforms and arranging events chronologically. A sequential deep learning model identifies relationships and temporal dependencies among those events. The approach correlates event sequences with churn and uses learned patterns to distinguish churn journeys from non-churn journeys and predict when churn may occur.

“Label Biasing Using Interpolation” describes retrieving training data and periodically sampling it to capture stages in open deals. The method computes labels for open and closed deals, trains a model using sampled data associated with closed deals, and generates scores for both open and closed deals. In some embodiments, labels are represented as 1 or 0.

Career Highlights

Bhat’s listed patent work applies machine learning and data modeling to practical business problems. The inventions focus on using customer journeys to anticipate churn and using deal data to support model training and scoring.

Collaborations

Bhat’s listed coworkers include Swaminathan Padmanabhan and Dushyant Kumar Rai. His association with Freshworks, Inc. places his work in a company setting focused on business software and customer-related data.

Conclusion

Chetan Bhat’s two listed patents demonstrate an emphasis on applying sequential modeling and interpolation-based data techniques to customer churn prediction and deal analytics.