Marietta, GA, United States of America

Kotreshi Sakragoudra


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Kotreshi Sakragoudra: Innovator in Metadata-Based Classifications

Introduction

Kotreshi Sakragoudra is an accomplished inventor based in Marietta, GA (US). He has made significant contributions to the field of data discovery through his innovative patent. His work focuses on utilizing metadata-based classifications to enhance the efficiency of data management systems.

Latest Patents

Kotreshi holds a patent titled "Utilizing metadata-based classifications for data discovery in data sets." This patent describes various implementations of systems, non-transitory computer-readable media, and methods that leverage a repository of metadata-based recommendations to classify data sources. The disclosed systems can generate a repository of metadata-based recommendations that indicate recommended classifications for objects within data sources through metadata associated with a data source schema. The systems identify metadata from a data source schema and match it to a metadata-based recommendation via mappings in the repository. Additionally, they utilize a classifier model to generate predicted labels for the data source and update the repository accordingly. Kotreshi has 1 patent to his name.

Career Highlights

Kotreshi is currently employed at OneTrust, LLC, where he continues to innovate in the field of data management. His work at OneTrust involves developing systems that improve data classification and discovery processes, making significant strides in how organizations handle large datasets.

Collaborations

Kotreshi collaborates with talented professionals such as Aniruddha Ghosal and Shane Wiggins. Their combined expertise contributes to the advancement of innovative solutions in data management.

Conclusion

Kotreshi Sakragoudra is a notable inventor whose work in metadata-based classifications is paving the way for more efficient data discovery systems. His contributions are essential in the evolving landscape of data management.

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