This inventor holds 2 USPTO granted patents. Top assignee: The Dun Bradstreet Corporation. Active years: 2008-2014.
Company Filing History:
Years Active: 2008-2014
Title: Sudip Chakraborty: Innovator in Database Matching Technologies
Introduction
Sudip Chakraborty is a notable inventor based in New Providence, NJ (US). He has made significant contributions to the field of database technologies, particularly in the area of searching and matching databases. With a total of 2 patents, his work has the potential to enhance data retrieval processes across various applications.
Latest Patents
Chakraborty's latest patents include innovative methods for searching and matching databases. The first patent describes a method for searching a database to obtain data. This method involves prioritizing a set of keys derived from a match inquiry, determining a subset of these prioritized keys, and retrieving a set of candidates that satisfy the match inquiry. The second patent outlines a system and method for finding a business entity in a database that matches input data. This system utilizes a web services interface to accept match requests and provides the best match. It includes a pre-processing layer that cleans, parses, and standardizes input data, as well as an application layer with a match engine that evaluates and scores match candidates.
Career Highlights
Sudip Chakraborty is currently employed at Dun & Bradstreet Corporation, a leading provider of business decisioning data and analytics. His role involves leveraging his expertise in database technologies to improve the efficiency and accuracy of data matching processes.
Collaborations
Chakraborty has collaborated with notable colleagues such as Anthony J. Scriffignano and David R. Allaway. Their combined efforts contribute to the advancement of innovative solutions in the field of data management.
Conclusion
Sudip Chakraborty's contributions to database matching technologies reflect his commitment to innovation and excellence. His patents not only enhance the efficiency of data retrieval but also pave the way for future advancements in the field.
