Company Filing History:
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Years Active: 2015-2024
Title: The Innovation Journey of Jayanta Sengupta
Introduction: Jayanta Sengupta is a talented inventor based in Charlotte, North Carolina, with a remarkable track record in the field of data quality management and automated data validation. With a total of 2 patents to his name, Jayanta Sengupta has made significant contributions to the world of enterprise systems and data processing.
Latest Patents:
1. System and Method for Identifying and Handling Data Quality Anomalies: Jayanta Sengupta's innovative patent focuses on managing data quality anomalies within enterprise systems. By enabling network computing devices to identify control points, track data quality metrics, and classify review priorities, this system provides a robust solution for ensuring data accuracy and reliability.
2. Automated Data Validation: Another cutting-edge patent by Jayanta Sengupta involves an automated data validation process that compares two files containing records and attributes. By determining unmatched attributes and generating detailed comparison reports, this invention streamlines data validation processes for enhanced efficiency.
Career Highlights: Jayanta Sengupta has showcased his expertise while working at prominent companies such as Bank of America Corporation and Charter Communications Operating, LLC. Through his groundbreaking inventions, he has revolutionized data management practices in the corporate world.
Collaborations: During his career, Jayanta Sengupta has collaborated with skilled professionals such as Nitesh Rathod and Sindhuja Subramani. Together, they have explored new avenues in data quality control and validation, shaping the future of information management.
Conclusion: Jayanta Sengupta's passion for innovation and his dedication to advancing data quality standards have established him as a key figure in the realm of enterprise systems. His inventive spirit and collaborative efforts continue to drive positive changes in how organizations handle and validate their data effectively.