Hamid Reza Khakpour, Ph.D.
About Hamid Reza Khakpour, Ph.D.
Hamid Reza Khakpour, Ph.D., is a Data Science Principal at Fannie Mae in the Washington DC-Baltimore Area, with extensive experience in data science, machine learning, and computational mechanics.
Title
Hamid Reza Khakpour, Ph.D., serves as Data Science Principal at Fannie Mae in the Washington DC-Baltimore Area.
Current Role at Fannie Mae
Hamid Reza Khakpour is currently employed as the Data Science Principal at Fannie Mae, located in the Washington DC-Baltimore Area. His role involves leading data science initiatives and advancing predictive analytics using deep learning models.
Previous Roles at Fannie Mae
Before his current position, Hamid Reza Khakpour held several roles at Fannie Mae. From 2020 to 2021, he was Data Science Advisor. Prior to that, he served as Lead Data Scientist from 2018 to 2020 in the Washington D.C. Metro Area. In these roles, he was involved in the development and productionalization of deep learning models to enhance predictive capabilities.
Experience at GEICO and Schneider Electric
Hamid Reza Khakpour worked as Senior Data Scientist at GEICO from 2017 to 2018 in Chevy Chase, MD. At Schneider Electric, he held multiple roles, including Data Scientist, Project Lead, and Senior Simulation Engineer from 2012 to 2017 in Owings Mills, MD. At Schneider Electric, he implemented machine learning techniques for SimSuite software and developed applications following agile methodology.
Academic Background and Research
Hamid Reza Khakpour received his Doctor of Philosophy (Ph.D.) in Fluid Mechanics from The Johns Hopkins University, where he studied from 2007 to 2012. He also holds a Master of Applied Science (M.A.Sc.) in Mechanical Engineering from the same university, earned from 2007 to 2010. His earlier education, a Master of Science (M.S.) and a Bachelor of Science (B.S.) in Mechanical Engineering, was completed at the University of Tehran.