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Years Active: 2015-2019
Title: Uday Sankar Sen: Innovator in Data Scoring Technologies
Introduction
Uday Sankar Sen is a prominent inventor based in Bengaluru, India. He has made significant contributions to the field of data scoring technologies, holding a total of 4 patents. His innovative work focuses on enhancing the scoring systems associated with data objects, which has implications for various applications in technology and social networks.
Latest Patents
Uday's latest patents include a "System and method for finding relative score and enhancing one or more scores associated with data objects." This invention provides methods, systems, and computer program products for computing relative scores and enhancing scores associated with data objects. The method involves receiving data objects from users, extracting internal and external parameters, and comparing these data objects with those of competing users. The process computes scores based on these comparisons and provides feedback to users to enhance their scores.
Another notable patent is the "Requirement feasibility scoring based on data object and social network website." This invention calculates a score indicating the likelihood of satisfying a requirement based on a data object and information from a social network website. The score is then sent to the user's computing device, providing valuable insights into the feasibility of their requirements.
Career Highlights
Uday has worked with several prestigious companies, including Microsoft Technology Licensing, LLC and LinkedIn Corporation. His experience in these organizations has allowed him to develop and refine his innovative ideas in data scoring technologies.
Collaborations
Uday has collaborated with various professionals in his field, including Prabhakaran Krishnamoorthy, enhancing the scope and impact of his inventions.
Conclusion
Uday Sankar Sen is a notable inventor whose work in data scoring technologies has the potential to transform how users interact with data objects. His patents reflect a deep understanding of the complexities involved in data analysis and scoring, making him a valuable contributor to the field.