Cesar Acosta is a Data Scientist with ample experience analyzing highly complex data, building advanced statistical models for prediction and classification useful for Analytics. He has outstanding skills to find data insights for problem solving and process improvement.
His areas of interest are: Predictive Analytics, Prescriptive Analytics, Machine learning and Statistical learning modeling, Data Mining, Deep Learning, and Advanced Statistical Data Analysis.
Dr. Acosta holds a Ph.D. in Statistics from The University of Texas at Dallas, and a Ph.D. in Industrial Engineering from Texas A&M University.