Kalyani, India

Rahul Mitra

This inventor holds 2 USPTO granted patents. Top assignee: Yodlee, Inc.. Active years: 2024-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Rahul Mitra. Retrieved from https://idiyas.com/inventor/rahul-mitra-5w7n882k

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2024-2025

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2 patents (USPTO):Explore Patents

Title: Innovations by Rahul Mitra

Introduction

Rahul Mitra is an accomplished inventor based in Kalyani, India. He has made significant contributions to the field of data synthesis and privacy protection. With a focus on de-identifying sensitive information, his work is crucial in today's data-driven world.

Latest Patents

Rahul Mitra holds 2 patents. His latest patent involves a system, method, and computer program for synthesizing user transactional data to de-identify sensitive information. This innovative approach identifies transactional data from multiple users and clusters them based on similar behaviors. The process generates synthesized transactional data by shuffling and perturbing portions of the original data, ensuring user privacy while maintaining data utility.

Career Highlights

Rahul is currently employed at Yodlee, Inc., where he applies his expertise in data synthesis and privacy. His work at Yodlee has positioned him as a key player in developing solutions that enhance user data protection.

Collaborations

Rahul collaborates with talented professionals such as Gaurav Singhal and Atif Adib. Their combined efforts contribute to the innovative projects at Yodlee, fostering a collaborative environment that drives technological advancements.

Conclusion

Rahul Mitra's contributions to synthesizing user transactional data highlight his commitment to innovation and privacy protection. His work not only advances technology but also safeguards sensitive information in an increasingly digital world.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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