Company Filing History:
Years Active: 2013-2021
Title: Zuohua Zhang: Innovator in Machine Learning and Merchant Profiling
Introduction
Zuohua Zhang is a notable inventor based in Bellevue, WA (US). He has made significant contributions to the fields of machine learning and merchant profiling, holding a total of 2 patents. His work has been influential in developing methodologies that enhance data processing and analysis.
Latest Patents
Zuohua Zhang's latest patents include innovative technologies that address critical challenges in machine learning and merchant profiling. One of his patents focuses on "Category-based sampling of machine learning data." This invention involves determining whether a training data set meets specific criteria for automated sampling. It identifies a sampling ratio for various categories and applies a selected sampling methodology to train a machine learning model effectively.
Another significant patent is the "Method and apparatus for a merchant profile builder." This invention streamlines the merchant profiling process into three stages: Data Preprocessing, Weekly Summary Calculation, and Merchant Profile Calculation. The process involves analyzing authorization and fraud data to compile comprehensive merchant profiles based on recent statistics.
Career Highlights
Zuohua Zhang has worked with prominent companies, including Fair Isaac Corporation and Amazon Technologies, Inc. His experience in these organizations has allowed him to develop and refine his innovative ideas, contributing to advancements in technology and data analysis.
Collaborations
Throughout his career, Zuohua Zhang has collaborated with talented individuals such as David Griegel and Linyu Yang. These partnerships have fostered a creative environment that has led to the development of impactful inventions.
Conclusion
Zuohua Zhang's contributions to machine learning and merchant profiling demonstrate his innovative spirit and dedication to advancing technology. His patents reflect a deep understanding of data processing and its applications in real-world scenarios. His work continues to influence the industry and inspire future innovations.