Jason Lee, Ph.D.
About Jason Lee, Ph.D.
Jason Lee, Ph.D., is a Data Scientist at Inspire Brands, where he has worked since 2020. He has a background in Chemical Engineering and extensive experience in machine learning and data science.
Work at Inspire
Jason Lee has been employed as a Data Scientist at Inspire Brands since 2020. His role involves leveraging data science techniques to support the company's operations and decision-making processes. He is based in the San Francisco Bay Area and has contributed to various projects that enhance data-driven strategies within the organization.
Previous Experience
Before joining Inspire Brands, Jason worked as an Insight Fellow at Insight Data Science for five months in 2020. He also served as a Postdoctoral Researcher at the Georgia Institute of Technology from 2014 to 2020, where he focused on advanced research in chemical and biomolecular engineering. Additionally, he held a position as a Project Engineer at Adecco, working with GE Lighting for six months in 2012.
Education and Expertise
Jason Lee earned his Bachelor of Science in Chemical Engineering from The Ohio State University, completing his studies from 2009 to 2013. He furthered his education at the Georgia Institute of Technology, where he obtained a Doctor of Philosophy in Chemical & Biomolecular Engineering from 2014 to 2019. His academic background provides a strong foundation for his work in data science and machine learning.
Technical Skills and Projects
Jason has developed a machine learning monitoring and alerting platform utilizing Prometheus and Grafana, aimed at detecting system-level and model-level faults in real-time. He deployed the platform architecture on Amazon EKS using Terraform and configured the software with Helm Charts. Furthermore, he implemented a machine learning pipeline that includes model training and serving capabilities using Kubeflow and Seldon Core.