This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: At&t Intellectual Property I, LP. Active years: 2022.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022
Title: Nisha Shahul Hameed: Innovator in Data Labeling Technology
Introduction
Nisha Shahul Hameed is a prominent inventor based in Bellevue, WA (US). She has made significant contributions to the field of data labeling technology. Her innovative approach has led to the development of a unique patent that enhances the efficiency of data classification.
Latest Patents
Nisha holds a patent titled "Method and apparatus for labeling data." This patent encompasses various aspects of determining classes from a corpus using topic modeling, data clustering, and unsupervised learning. The process involves generating trained models for each class by assigning a plurality of textual documents to labels based on the highest number of matches. Additionally, raw textual documents can be tokenized, and stop words can be removed to improve accuracy. The corresponding trained model is selected based on the applicable class, allowing for effective assignment of target labels.
Career Highlights
Nisha is currently associated with AT&T Intellectual Property I, LP, where she continues to innovate in her field. Her work has garnered attention for its practical applications in data management and classification. With her expertise, she has contributed to advancing the understanding of data labeling processes.
Collaborations
Nisha collaborates with talented individuals such as Sanjeev Misra and Appavu Siva Prakasam. Their combined efforts contribute to the innovative environment at AT&T Intellectual Property I, LP.
Conclusion
Nisha Shahul Hameed is a trailblazer in the realm of data labeling technology, with her patent showcasing her innovative spirit and dedication to improving data classification methods. Her contributions are paving the way for future advancements in this critical area.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
