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: Sucitro Dwijayana Sidharta: Innovator in Automated Quality Check Systems
Introduction
Sucitro Dwijayana Sidharta is a notable inventor based in Singapore, SG. He has made significant contributions to the field of data science, particularly in the area of automated quality checks for production models. His innovative approach addresses the challenges faced by data scientists in maintaining model quality and predictive accuracy.
Latest Patents
Sucitro holds a patent for an invention titled "Automated quality check and diagnosis for production model refresh." This invention is crucial as it provides an early warning system that performs systematic statistical and algorithmic checks for prediction accuracy, stability, and model assumption validity. The diagnostic report generated by this system assists data scientists in assessing the health of their models and identifying sources of error. Well-performing models can be automatically deployed, while poorly performing models trigger alerts for further investigation.
Career Highlights
Throughout his career, Sucitro has worked with reputable companies such as MSD International GmbH and MSD IT Global Innovation Center S.r.o. His experience in these organizations has allowed him to refine his skills and contribute to significant projects in the data science domain.
Collaborations
Some of Sucitro's notable coworkers include Yingqi Peh and Kah Hin Chin. Their collaboration has likely fostered an environment of innovation and creativity, leading to advancements in their respective fields.
Conclusion
Sucitro Dwijayana Sidharta is a pioneering inventor whose work in automated quality checks has the potential to transform data science practices. His contributions are invaluable in ensuring the reliability and accuracy of predictive models in production.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile