Expertise: Data mining, time series analysis, regression, predictive modeling and Bayesian statistics
Education: The University of Toledo
Sohail Hosseini is a machine learning engineer with nearly five years of experience in data science and research roles. Hosseini has previously worked as a machine learning engineer for the U.S. Postal Service, a data analytics bootcamp instructor at The George Washington University and as an Assistant Professor for Capitol Technology University. He specializes in data mining, time series analysis, regression, predictive modeling and Bayesian statistics. Hosseini holds a doctorate in electronics and communications engineering from The University of Toledo.