This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Hcl Technologies Limited. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Deepthi Priya Bejjam: Innovator in Predictive Modeling
Introduction
Deepthi Priya Bejjam is a talented inventor based in Hyderabad, Telangana, India. She has made significant contributions to the field of predictive modeling through her innovative work. With a focus on automated data modeling, her inventions aim to enhance the efficiency and accuracy of predictive analytics.
Latest Patents
Deepthi holds a patent for a system and method for generating a predictive model based on automated data modeling. The patent describes a method that involves receiving data and extracting one or more predicator features from the data using a feature selection methodology. This methodology includes computing a degree of connectedness for each feature using a modified mutual information technique and a Pearson coefficient. The process identifies predicator features by comparing the degree of connectedness against a predefined threshold. Additionally, the method identifies the data type associated with the data and generates a predictive model tailored to the data type and the selected features. She has 1 patent to her name.
Career Highlights
Deepthi is currently employed at HCL Technologies Limited, where she continues to develop her expertise in data modeling and predictive analytics. Her work at HCL Technologies has allowed her to collaborate with other professionals in the field and contribute to innovative projects.
Collaborations
Some of her notable coworkers include S U M Prasad Dhanyamraju and Sriganesh Sultanpurkar. Their collaboration has fostered a creative environment that encourages the development of cutting-edge solutions in technology.
Conclusion
Deepthi Priya Bejjam is a remarkable inventor whose work in predictive modeling showcases her innovative spirit and dedication to advancing technology. Her contributions are paving the way for more efficient data analysis methods in various industries.
