Timothy Lee

Timothy Lee is a highly experienced Staff Machine Learning Engineer at Workday since April 2019, responsible for the development and deployment of machine learning systems across various enterprise applications, including task recommendation and intelligent accounting solutions. With a solid background in data science and analytics, Timothy has a history of contributing to significant projects, such as predicting election results for ABC News and developing machine learning pipelines for Baker Hughes. Timothy also has experience teaching SQL courses at the University of San Francisco and has held various data science and engineering positions at organizations like PwC and Rolls-Royce. Timothy holds multiple degrees in Data Science and Mechanical Engineering from respected institutions, including the University of San Francisco and UCLA.