Kolkata, India

Satyaki Bhattacharya

This inventor holds 2 USPTO granted patents and 2 published patent applications. Top assignee: Accenture Global Solutions Limited. Active years: 2022-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Satyaki Bhattacharya. Retrieved from https://idiyas.com/inventor/satyaki-bhattacharya

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

USPTO Granted Patents = 2 

% Patents Active = 100.0

Average Co-Inventor Count = 10.0

ph-index = 1


Company Filing History:


Years Active: 2022-2025

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2 patents (USPTO):Explore Patents

Title: Satyaki Bhattacharya: Innovator in Data Veracity Assessment

Introduction

Satyaki Bhattacharya is a notable inventor based in Kolkata, India. He has made significant contributions to the field of data assessment and accuracy, holding 2 patents that showcase his innovative approach to enhancing data veracity.

Latest Patents

His latest patents include a system for assessing a data model, which involves a data receiver, a model receiver, and a model assessment device. This system is designed to evaluate the accuracy of a data model by comparing outcomes based on input features and historical data. Another patent focuses on data accuracy using natural language processing, where he describes methods for generating datasets and veracity scores, as well as identifying and correcting anomalies to improve data usability.

Career Highlights

Satyaki currently works at Accenture Global Solutions Limited, where he applies his expertise in data modeling and assessment. His work is instrumental in developing systems that enhance the reliability of data used in various applications.

Collaborations

He collaborates with talented professionals such as Rajeev John and Priya Das, contributing to innovative projects that push the boundaries of data science.

Conclusion

Satyaki Bhattacharya's work in data veracity assessment exemplifies the impact of innovation in technology. His patents reflect a commitment to improving data accuracy, which is crucial in today's data-driven 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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