Alpharetta, GA, United States of America

Prateek Agrawal

This inventor holds 1 USPTO granted patent. Top assignee: Equifax Inc.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Prateek Agrawal. Retrieved from https://idiyas.com/inventor/prateek-agrawal-savjraz2

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 = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Prateek Agrawal: Innovator in Data Tampering Prediction

Introduction

Prateek Agrawal is an accomplished inventor based in Alpharetta, GA (US). He has made significant contributions to the field of data security through his innovative patent. His work focuses on predicting data tampering using advanced machine learning models, which is crucial in today's digital landscape.

Latest Patents

Prateek Agrawal holds a patent for "Predicting data tampering using augmented machine learning models." This invention involves a tampering prediction system that receives requests from target entities to modify historical event data. The system generates a first score by applying a set of machine learning models to the request and the target entity's information. It then computes a second score using a different machine learning model trained on labeled data, augmented with a model trained on unlabeled data. The overall score for the request is generated based on these two scores, enhancing the ability to detect fraudulent disputes.

Career Highlights

Prateek Agrawal is currently employed at Equifax Inc., where he applies his expertise in machine learning and data security. His innovative approach to predicting data tampering has positioned him as a key player in the field. With a focus on leveraging technology to enhance data integrity, he continues to push the boundaries of what is possible in data protection.

Collaborations

Prateek has collaborated with notable colleagues, including Cuizhen Shen and Philip Munguia. Their combined efforts contribute to the advancement of technology in data security and machine learning applications.

Conclusion

Prateek Agrawal's work in predicting data tampering through machine learning models represents a significant advancement in data security. His innovative patent and contributions to Equifax Inc. highlight his commitment to enhancing the integrity of data 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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