He has over 19 years of direct experience in applying quantitative methods to extract value from corporate data assets. His specialities include Applied Quantitative Methods (multivariate, advanced analytics), Data Warehousing, Process Modeling, Computing Technology, Predictive Modeling, SAS, R, SQL languages, ESB, Real Time Analytics, Big Data (Hadoop), Intelligent Systems, and Econometrics.

At Mu Sigma, he spearheads the innovation and development division and implements agendas focused on driving the adoption of advanced analytics technology.

Zubin received his BSBA in Finance from the University of Florida and an MA in Economics specializing in Econometrics from the University of South Carolina.

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