Company Filing History:
Years Active: 2025
Title: Sumiran Naman: Innovator in Data Labeling and Privacy Techniques
Introduction
Sumiran Naman is a notable inventor based in Pune, India. He has made significant contributions to the field of data labeling and privacy techniques. With a total of 2 patents, his work focuses on enhancing the efficiency and accuracy of data processing systems.
Latest Patents
Sumiran's latest patents include a "Method and system for identifying labels of unlabelled column data." This innovative system employs a hybrid approach that utilizes language models, regular expressions, and known dictionaries to label unlabelled tabular data. The system classifies unlabelled data into various buckets and applies suitable techniques based on data types for effective label identification. Additionally, it incorporates a feedback mechanism to improve its performance over time.
Another significant patent is the "System and method for enabling differential privacy techniques." This invention addresses the limitations of existing systems by providing a method for selecting multiple differential privacy techniques simultaneously. The system generates a universal data query table from associated tables and databases, allowing for interactive viewing of privacy and similarity metrics. This enables users to select the appropriate differential private data based on their privacy and similarity tolerances.
Career Highlights
Sumiran Naman is currently employed at Tata Consultancy Services Limited, where he continues to innovate and contribute to the field of data science. His work has garnered attention for its practical applications in enhancing data privacy and labeling processes.
Collaborations
Some of his notable coworkers include Anantha Desik Puranam Hosudurg and Ashim Roy, who collaborate with him on various projects within the company.
Conclusion
Sumiran Naman's contributions to data labeling and privacy techniques reflect his commitment to advancing technology in meaningful ways. His innovative patents demonstrate a deep understanding of the challenges in data processing and offer practical solutions for the future.