College Park, MD, United States of America

Manoj Sharma


Average Co-Inventor Count = 4.0

ph-index = 2

Forward Citations = 324(Granted Patents)


Company Filing History:


Years Active: 2004-2007

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2 patents (USPTO):Explore Patents

Title: Manoj Sharma: Innovator in Personalized Reporting Systems

Introduction

Manoj Sharma is a notable inventor based in College Park, MD (US). He has made significant contributions to the field of personalized reporting systems, holding 2 patents that showcase his innovative approach to data processing and user interaction.

Latest Patents

One of his latest patents is a method and apparatus for providing calculated and solution-oriented personalized summary-reports to a user through a single user-interface. This Internet-connected portal system includes a data repository, a data-gathering system, a request processor, a plurality of report algorithms, and a report processor. The request processor receives user requests and matches them to specific report algorithms. The data-gathering subsystem accesses multiple Internet sites associated with the user to extract raw data according to the needs of the report algorithm. The report processor then processes this raw data into metasummarized information, which is transmitted as a report to the user. In some instances, an aggregated-data database stores periodically retrieved data for specific users, allowing for efficient report preparation.

Career Highlights

Manoj Sharma is currently employed at Yodlee.com, Inc., where he continues to develop innovative solutions in the realm of data reporting and user interfaces. His work focuses on enhancing the user experience through personalized and efficient data processing methods.

Collaborations

Some of his notable coworkers include P Venkat Rangan and Sreeranga P Rajan, who contribute to the collaborative environment at Yodlee.com, Inc.

Conclusion

Manoj Sharma's contributions to personalized reporting systems reflect his commitment to innovation and user-centric design. His patents demonstrate a forward-thinking approach to data processing that benefits users across various applications.

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