Seattle, WA, United States of America

Vikram Rajasekaran


Average Co-Inventor Count = 8.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2020-2022

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2 patents (USPTO):Explore Patents

Title: Vikram Rajasekaran: Innovator in Data Analytics

Introduction

Vikram Rajasekaran is a notable inventor based in Seattle, WA (US). He has made significant contributions to the field of data analytics through his innovative patents. With a total of 2 patents, Vikram is recognized for his work in enhancing data insights and user experiences.

Latest Patents

Vikram's latest patents focus on "Ranking contextual metadata to generate relevant data insights." This invention encompasses methods, systems, and computer program products designed to improve data analytics. By automatically deriving relevance signals, his work aims to generate insights that are closely related to the context in which users explore or analyze data. The user experiences facilitated by this invention include embedded data visualizations, search engines, and natural language querying systems. These tools help users understand their data more effectively. The relevance information utilized in this invention defines a scope for a variety of automatically generated insights, targeting areas that are of interest to users.

Career Highlights

Vikram is currently employed at Microsoft Technology Licensing, LLC, where he continues to innovate in the realm of data analytics. His work is instrumental in advancing the capabilities of data analysis tools and enhancing user engagement with data.

Collaborations

Some of Vikram's coworkers include Saliha Azzam and Steven Paul Breyer. Their collaborative efforts contribute to the innovative environment at Microsoft Technology Licensing, LLC.

Conclusion

Vikram Rajasekaran is a prominent figure in the field of data analytics, with a focus on generating relevant insights through innovative methodologies. His contributions are shaping the future of how users interact with and understand their data.

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