Jeffrey Feng

Title: Innovations by Jeffrey Feng in Statistical Model Performance Monitoring

Introduction

Jeffrey Feng is an accomplished inventor based in Atlanta, GA (US). He has made significant contributions to the field of statistical model performance monitoring, holding 2 patents that showcase his innovative approach to automating performance analysis.

Latest Patents

One of Jeffrey Feng's latest patents focuses on interactive model performance monitoring. This invention involves providing automated performance monitoring of statistical models. A processing device is utilized to perform statistical analysis on archived information to extract historical data, scores, and attributes. The device calculates performance metrics based on this historical data, scores, and attributes. Furthermore, it pre-calculates summary performance data based on the performance metrics. This summary performance data is stored in files with predefined layouts within a non-transitory, computer-readable medium. Users can access segmented data through a graphical user interface (GUI), and various reports of the segmented data are presented interactively by detecting user selections of segmentation.

Career Highlights

Jeffrey Feng is currently employed at Equifax Inc., where he continues to develop innovative solutions in the realm of data analysis and performance monitoring. His work has significantly impacted how organizations can leverage statistical models for better decision-making.

Collaborations

Some of Jeffrey Feng's notable coworkers include Zhenyu Wang and Vickey Chang, who contribute to the collaborative environment that fosters innovation at Equifax Inc.

Conclusion

Jeffrey Feng's contributions to statistical model performance monitoring exemplify the importance of innovation in data analysis. His patents reflect a commitment to enhancing automated performance monitoring, which is crucial for organizations seeking to optimize their statistical models.