Company Filing History:
Years Active: 2021-2022
Title: Melissa Hoang: Innovator in Predictive Modeling
Introduction
Melissa Hoang is a talented inventor based in San Francisco, CA. She has made significant contributions to the field of predictive modeling, holding 2 patents that showcase her innovative approach to technology. Her work focuses on developing systems that enhance user experience through data analysis and predictive capabilities.
Latest Patents
One of her latest patents is titled "System and method for field value recommendations based on confidence levels in analyzed dataset." This invention outlines a method for training a predictive model to forecast likely field values for user-selected fields within an application. The process includes providing a user interface for selection, analyzing a pre-existing dataset, and training the predictive model based on this analysis. Additionally, it determines confidence functions for the model, which identify the accuracy of predictions at various confidence levels. This allows users to review and select confidence thresholds for the predictive model.
Career Highlights
Melissa Hoang is currently employed at Salesforce.com, Inc., where she continues to innovate and develop cutting-edge solutions. Her work at Salesforce has positioned her as a key player in the realm of predictive analytics and user interface design.
Collaborations
Throughout her career, Melissa has collaborated with talented individuals such as Kristen Noriko Muramoto and Son Thanh Chang. These partnerships have contributed to her success and the advancement of her projects.
Conclusion
Melissa Hoang is a remarkable inventor whose work in predictive modeling is paving the way for future innovations. Her patents reflect her dedication to enhancing user experience through advanced technology.