Pune, India

Rahul Pramod Nandanwar

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Worldpay Limited. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Rahul Pramod Nandanwar. Retrieved from https://idiyas.com/inventor/rahul-pramod-nandanwar

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations of Rahul Pramod Nandanwar

Introduction

Rahul Pramod Nandanwar is an accomplished inventor based in Pune, India. He has made significant contributions to the field of predictive analysis, particularly in electronic transaction representment data using machine learning. His innovative approach has the potential to enhance the efficiency of chargeback processes in financial transactions.

Latest Patents

Rahul holds a patent titled "Systems and methods for predictive analysis of electronic transaction representment data using machine learning." This patent describes systems and methods for generating predictions on chargeback representment based on probability data and results from multiple machine learning models. The method involves receiving data related to disputed transactions, processing this data to calculate the probability of success in chargeback representment, and generating recommendations based on these predictions.

Career Highlights

Rahul is currently employed at Worldpay Limited, where he applies his expertise in machine learning and predictive analysis. His work focuses on improving transaction processes and enhancing user experiences in the financial sector.

Collaborations

Some of his notable coworkers include Rajiv Ramanjani and Yogendra Katheria, who contribute to the innovative projects at Worldpay Limited.

Conclusion

Rahul Pramod Nandanwar's contributions to predictive analysis in electronic transactions exemplify the impact of innovation in the financial industry. His work continues to pave the way for advancements in machine learning applications.

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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