This inventor holds 5 USPTO granted patents and 2 published patent applications. Top assignee: Bank of America Corporation. Active years: 2022-2023.
Company Filing History:
Years Active: 2022-2023
Title: Sandip Kumar: Innovator in Data Restoration and Management
Introduction
Sandip Kumar is a notable inventor based in Matthews, NC (US). He has made significant contributions to the field of data management and restoration, holding a total of 5 patents. His work focuses on developing innovative solutions that enhance data integrity and streamline data processes.
Latest Patents
One of Sandip's latest patents is the "Consolidated Data Restoration Framework." This invention provides a system for identifying the occurrence of events and performing actions to mitigate their impacts. The system is designed to gather data from various sources, generate dataflows, identify anomalies, and perform event impact analysis. It also includes mechanisms for retrieving and restoring the last good copy of data.
Another significant patent is "Enterprise Data Flow Lineage from Enterprise Data Testing Metadata." This computing system manages and maps source and target data associated with data transformations. It analyzes data quality testing data to validate transformations and generates a data lineage map that indicates relationships between source and target data.
Career Highlights
Sandip Kumar is currently employed at Bank of America Corporation, where he applies his expertise in data management. His innovative approaches have contributed to the development of systems that enhance data quality and reliability.
Collaborations
Sandip has collaborated with several talented individuals, including Conor Mitchell, Liam Nodzak, and Kyle Scott Sorensen. These collaborations have fostered a creative environment that encourages the development of cutting-edge solutions in data management.
Conclusion
Sandip Kumar's contributions to data restoration and management demonstrate his commitment to innovation in technology. His patents reflect a deep understanding of data processes and a dedication to improving data integrity.