Thane, India

Meenakshi Arvind Lingayat

This inventor holds 1 USPTO granted patent. Top assignee: Accenture Global Solutions Limited. Active years: 2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Meenakshi Arvind Lingayat. Retrieved from https://idiyas.com/inventor/meenakshi-arvind-lingayat

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 = 2.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Meenakshi Arvind Lingayat: Innovator in Machine Learning Techniques

Introduction

Meenakshi Arvind Lingayat is a prominent inventor based in Thane West, India. She has made significant contributions to the field of machine learning, particularly in the area of entity classification. Her innovative approach has led to the development of a patented technology that enhances the efficiency of data classification processes.

Latest Patents

Meenakshi holds a patent for her invention titled "Entity classification based on machine learning techniques." This device is designed to receive information that identifies a requirement and utilizes data associated with both positive and negative entities. It identifies priority terms and generates a model that determines classification scores for unclassified entities. This technology aims to facilitate actions based on the classification scores provided.

Career Highlights

Meenakshi is currently employed at Accenture Global Solutions Limited, where she applies her expertise in machine learning to develop innovative solutions. Her work has been instrumental in advancing the capabilities of data processing and classification within the organization.

Collaborations

Meenakshi collaborates with her coworker, Rajeev Sinha, to further enhance their projects and drive innovation within their team.

Conclusion

Meenakshi Arvind Lingayat is a trailblazer in the field of machine learning, with a focus on entity classification. Her patented invention showcases her commitment to advancing technology and improving data classification processes.

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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