Managing and Analyzing Large Data Sets in Litigation, Apr. 5
Roberto Cavazos, Ph.D., Visiting Professor of Decision Science
Complex litigation often involves an enormous amount of data. Sorting and analyzing the mountain of data from numerous sources can be a colossal and convoluted task. This seminar will discuss various aspects of managing big data.
On April 5, 2019, the University of Baltimore Merrick School of Business and the UB School of Law will be collaborating with EmployStat.com to offer continuing legal education (CLE) for those interested in “Data Analytics in Complex Litigation.”
One of the presenters will be Visiting Professor of Decision Science, Roberto Cavazos. He has over 25 years experience as an applied economist. He has worked in projects in Europe, Australia, Latin America and the United States. For the U.S. government, he has led projects for the Department of Labor, Department of Commerce and Housing and Urban Development in areas of data improvement, data analytics and innovation. He has performed analytic work for money center bank, top law firms, and multinational firms.
Dr. Cavazos teaches statistics and business analytics. He was previously a professor at Carnegie Mellon University Heinz College Public Policy Program, and Florida International University College of Policy and Management where he taught economics, public policy analysis, statistics, program evaluation, and strategy. He also served as an economist for the federal government and in the New York City office of the Comptroller.
He earned a bachelor’s degree in economics from the University of Texas at Austin in 1983 and MPA in 1995, and Ph.D. from the University of Texas at Dallas in 1998.
Click here to see the event flyer.
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