Stamford, CT, United States of America

Nayan Sharma

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Synchrony Bank. Active years: 2026.

USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Nayan Sharma: Innovator in Dynamic Qualification Analysis

Introduction

Nayan Sharma is a prominent 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 combines technology and machine learning to enhance user experience and streamline processes.

Latest Patents

Nayan Sharma 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 occurs 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, the application of these programs to the user's account. Nayan Sharma has 1 patent to his name.

Career Highlights

Nayan currently works at Synchrony Bank, where he applies his expertise in data analysis and machine learning. His role involves developing systems that enhance the efficiency of program qualification processes. His work has been instrumental in improving user engagement and satisfaction.

Collaborations

Nayan collaborates with talented colleagues, including David Chau and Julia Shen. Together, they contribute to innovative projects that push the boundaries of technology and user experience.

Conclusion

Nayan Sharma is a dedicated inventor whose work in dynamic qualification analysis is paving the way for advancements in user data processing. His contributions to Synchrony Bank and the field of machine learning are noteworthy and impactful.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to [email protected]
Loading…