This inventor holds 1 USPTO granted patent. Top assignees: Msd International Gmbh, Msd It Global Innovation Center S.r.o.. Active years: 2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023
Title: Innovations by Shao Ying Choo
Introduction
Shao Ying Choo is an accomplished inventor based in Singapore, known for his contributions to the field of data science. He has developed innovative solutions that address critical challenges in model maintenance and quality assurance during the production stage of data science projects. His work emphasizes the importance of maintaining model quality and predictive accuracy, which are essential for successful data-driven decision-making.
Latest Patents
Shao Ying Choo holds a patent for an "Automated quality check and diagnosis for production model refresh." This invention introduces an early warning system that performs systematic statistical and algorithmic checks to ensure prediction accuracy, stability, and model assumption validity. The system generates diagnostic reports that assist data scientists in assessing model health and identifying sources of error. Well-performing models can be automatically deployed, while underperforming models trigger alerts for further investigation.
Career Highlights
Throughout his career, Shao Ying Choo has worked with notable organizations, including MSD International GmbH and MSD IT Global Innovation Center S.r.o. His experience in these companies has allowed him to refine his skills and contribute significantly to the field of data science and model maintenance.
Collaborations
Shao Ying Choo has collaborated with talented individuals such as Yingqi Peh and Kah Hin Chin. These collaborations have further enriched his work and contributed to the development of innovative solutions in data science.
Conclusion
Shao Ying Choo's innovative approach to automated quality checks in data science exemplifies the importance of maintaining model integrity and performance. His contributions are paving the way for more efficient and reliable data science practices.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile