This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Synchrony Bank. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Surendranag Mandalaneni: Innovator in Dynamic Qualification Analysis
Introduction
Surendranag Mandalaneni is a notable inventor based in Stamford, CT (US). He has made significant contributions to the field of user data analysis, particularly in the context of program eligibility. His innovative approach has led to the development of a unique patent that enhances the efficiency of qualification processes.
Latest Patents
Surendranag holds a patent titled "Dynamic multi-stage qualification analysis for multiple programs." This patent describes systems and methods for analyzing user data to determine eligibility for various programs. The analysis is conducted in two or more stages, each incorporating specific rules and program qualification criteria. Notably, the systems and methods utilize trained machine learning models for at least one stage of the analysis. This innovation allows for the identification of programs that users are eligible for and, in some cases, applies these programs directly to the user's account. Surendranag has 1 patent to his name.
Career Highlights
Surendranag is currently employed at Synchrony Bank, where he applies his expertise in data analysis and machine learning. His work focuses on improving user experience and streamlining processes related to program eligibility. His contributions have been instrumental in advancing the bank's capabilities in this area.
Collaborations
Surendranag collaborates with talented colleagues, including David Chau and Julia Shen. Together, they work on innovative projects that aim to enhance the bank's services and improve user engagement.
Conclusion
Surendranag Mandalaneni is a forward-thinking inventor whose work in dynamic qualification analysis is paving the way for more efficient user data processing. His contributions to Synchrony Bank and the field of machine learning are noteworthy and continue to impact the industry positively.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
