Company Filing History:
Years Active: 2022
Title: Jagdish Chand: Innovator in Segmentation Technology
Introduction
Jagdish Chand is a notable inventor based in Foster City, CA (US). He has made significant contributions to the field of data analysis and segmentation through his innovative patent. His work focuses on creating systems that enhance the understanding of behavior through predictive analytics.
Latest Patents
Jagdish holds a patent for a "Segmentation platform using feature and label pairs." This segmentation platform enables a system that comprises a behavior service and a predictive service for determining a segment from a dataset. The behavior service analyzes data to determine information about behavior that has already occurred. The predictive service analyzes data to determine information about the predicted propensity for certain behavior to occur in the future. In some cases, the predictive service can determine the information by utilizing a training model that indicates predictions related to potential relationships among properties of a dataset. The segmentation platform also enables an interactive user interface that can be utilized to configure attributes of the segment, analyze information associated with the segment, and deliver the information to another device. Jagdish has 1 patent to his name.
Career Highlights
Jagdish is currently employed at Visa International Service Association, where he applies his expertise in data segmentation and predictive analytics. His role involves developing innovative solutions that enhance the company's capabilities in understanding consumer behavior.
Collaborations
Jagdish has worked alongside talented colleagues such as Aman Madaan and Somashekhar Pammar, contributing to various projects that leverage their combined expertise in technology and data analysis.
Conclusion
Jagdish Chand is a prominent figure in the field of segmentation technology, with a focus on predictive analytics that aids in understanding consumer behavior. His innovative work continues to influence the industry and drive advancements in data analysis.