This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Tata Consultancy Services Limited. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024
Title: Innovations by Lavanya Gunasekar
Introduction
Lavanya Gunasekar is an accomplished inventor based in Chennai, India. She has made significant contributions to the field of data management through her innovative patent. Her work focuses on optimizing the evaluation of topics associated with unstructured text data, which is increasingly generated by organizations in the digital age.
Latest Patents
Lavanya holds a patent titled "Method and system to optimize a plurality of topics by evaluation metrics." This invention addresses a major drawback in existing data management metrics, specifically the assessment of quality related to topics in documents. The patent outlines a process where a raw dataset is transformed into a processed dataset, establishing relationships between words and topics. A word score is calculated based on the probability of constructs in sentences, and a topic score is determined by the mean value of these word scores. Additionally, the invention includes a method for determining contiguity scores to identify connected topics.
Career Highlights
Lavanya is currently employed at Tata Consultancy Services Limited, a leading global IT services and consulting company. Her role involves leveraging her expertise in data management and analytics to drive innovation within the organization.
Collaborations
Some of her notable coworkers include Bagya Lakshmi Vasudevan and Ananya Srivastava, who contribute to the collaborative environment at Tata Consultancy Services Limited.
Conclusion
Lavanya Gunasekar's innovative work in optimizing topic evaluation metrics showcases her commitment to advancing data management practices. Her contributions are vital in addressing the challenges posed by the vast amounts of unstructured data generated today.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
