Tri Nguyen is a data scientist at Seagate Technology. He works in the Data Analytics and Reporting Systems team, the first team to integrate AI into the factory systems at Seagate. He has worked on a variety of projects since 2014, including predictive maintenance, text analysis in factory systems, and big data analysis and visualization. Tri’s main focus is on factory automation, including automated image classification using deep learning, and real-time product decision making.
Tri also works with graduate students through a partnership program between Seagate and local universities, helping students gain exposure to real-world data utilization and a corporate working environment, while applying their exploratory research in a factory context.
Tri has a Master’s degree in Statistics from the University of Minnesota and a Bachelor’s degree in Finance from the University of Missouri, Columbia.