Mumbai, India

Yogesh P Pawar

This inventor holds 1 USPTO granted patent. Top assignee: Accenture Global Solutions Limited. Active years: 2018.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yogesh P Pawar. Retrieved from https://idiyas.com/inventor/yogesh-p-pawar

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 8(Granted Patents)


Company Filing History:


Years Active: 2018

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1 patent (USPTO):Explore Patents

Title: Yogesh P Pawar and Geographical Network Innovation.

Introduction

Yogesh P Pawar is an inventor based in Mumbai, India, whose patent work addresses the analysis of geographical networks and the potential effects of actions performed on their nodes. His listed patent is associated with Accenture Global Solutions Limited.

Latest Patents

Pawar is credited with 1 patent, titled “Predicting an Effect of Performing an Action on a Node of a Geographical Network.” The invention describes a device that receives information about nodes and transactions between those nodes and various entities, determines the nodes’ geographical locations, and identifies nodes connected through shared entities. It then uses this information to generate a geographical network, select a node for an action, and predict the network’s future performance if that action is performed. The resulting information can be stored or provided.

Career Highlights

Pawar’s listed patent is assigned to Accenture Global Solutions Limited. The invention reflects an application of data analysis and predictive modeling to geographical networks and transactions.

Collaborations

Pawar’s listed coworkers include Milton Jay Merl and Charu Nahata. The available information identifies them as coworkers but does not specify their roles in the patent.

Conclusion

Yogesh P Pawar’s patent focuses on predicting how actions on individual nodes may affect the future performance of a geographical network.

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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