Shobha Jacob

Title: Shobha Jacob: Innovator in Machine Learning and Metadata Collection

Introduction

Shobha Jacob is a prominent inventor based in Lisle, IL (US). She has made significant contributions to the field of machine learning and metadata collection. Her innovative work has led to the development of a unique patent that enhances the understanding of network traffic data.

Latest Patents

Shobha Jacob holds a patent for a "System for machine learning-based metadata collection and parameterized graph modeling from communication channels." This patent describes systems, computer program products, and methods for collecting metadata using machine learning techniques. The communication interaction subsystem (CIS) is designed to receive user requests to query network traffic data from multiple devices. The CIS analyzes this data based on the requests and identifies a subset of devices. Additionally, the parameterized graph modeling subsystem (PGMS) generates a data traffic topography map for the identified devices, providing valuable insights into network behavior.

Career Highlights

Shobha Jacob is currently employed at Bank of America Corporation, where she applies her expertise in machine learning and data analysis. Her work at the bank involves leveraging her innovative patent to improve the efficiency and effectiveness of data management systems.

Collaborations

Shobha collaborates with notable colleagues, including Robert Cliche and Gilbert M Gatchalian. Their combined efforts contribute to advancing the field of machine learning and enhancing the capabilities of their projects.

Conclusion

Shobha Jacob is a trailblazer in the realm of machine learning and metadata collection. Her innovative patent and contributions to Bank of America Corporation highlight her significant impact on technology and data analysis.