Data Science, Machine Learning, and Data Mining | E-554559
This highly-qualified expert has extensive experience in statistics, data science, data mining, and machine learning. He specializes in R, SQL connectivity, time series analysis, econometrics, regression trees, categorical data analysis, operations research, and statistical quality control. He earned his BA in economics from McGill University, before continuing his MA in econometrics and MS in mathematics and statistics from Queens University at Kingston. He continued to earn two PhDs in operations research and applied statistics from the University of Texas and the University of California, respectively. He has former experience as a senior statistical developer at J&W Seligman and as an econometrician and time series statistician at New York Capital Advisors. Currently, this expert is a proprietor and president of a machine learning firm in New Jersey, where he is a consultant in machine learning, big data mining, exploratory graphical data analysis, and econometrics.
Location: NJ
BA, Economics, McGill University
MA, Econometrics, Queens University at Kingston
MS, Mathematics and Statistics, Queens University at Kingston
PhD, Operations Research, University of Texas
PhD, Applied Statistics, University of California
Former, Senior Statistical Developer, J&W Seligman
Former, Econometrician, New York Capital Advisors
Former, Time Series Statistician, New York Capital Advisors
Current, Proprietor, a machine learning firm in NJ
Current, President, a machine learning firm in NJ