Bengaluru, India

Girija B

This inventor holds 1 USPTO granted patent. Top assignee: Sap Se. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Girija B. Retrieved from https://idiyas.com/inventor/girija-b-e34xd9nr

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 = 9.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Innovator Girija B: Pioneering Data Clustering Techniques

Introduction

Girija B is a notable inventor based in Bengaluru, India. She has made significant contributions to the field of data science, particularly in the area of data clustering. With a focus on innovative solutions, Girija has been instrumental in developing methods that enhance the organization and analysis of data.

Latest Patents

Girija holds a patent for her invention titled "Clustering of data objects based on data object attributes." This patent describes a program that determines a plurality of data objects, each containing a first and second attribute. The program sorts the values of these attributes and calculates distance values to define clusters based on the sorted data. This innovative approach allows for more efficient data organization and analysis.

Career Highlights

Girija is currently employed at SAP SE, where she applies her expertise in data science to develop cutting-edge solutions. Her work has garnered attention for its practical applications in various industries, showcasing her ability to bridge the gap between theoretical concepts and real-world implementation.

Collaborations

Throughout her career, Girija has collaborated with talented individuals such as Samhith Bharadwaj and Erik Scheithauer. These partnerships have fostered a creative environment that encourages innovation and the sharing of ideas.

Conclusion

Girija B is a remarkable inventor whose work in data clustering has the potential to transform how data is analyzed and utilized. Her contributions to the field highlight the importance of innovation in technology and data science.

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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