Competencies = Marketing + Statistics + ProgrammingMarketing:MMS and PhD in Marketing with over fifteen years experience in marketing as a tenured (Full) Professor and Marketing ConsultantStatistics: Experienced in a wide range of statistical techniques, data mining techniques, statistical software, and analytical tools. Statistical techniques include regression (linear, non-linear, logit), analysis of variance/covariance, discriminant analysis, cluster analysis, factor analysis, conjoint analysis, and structural equation models. Data mining techniques include decision trees, random forests, neural networks, text mining, and pattern analysis (clustering, marketing basket analysis, sequence analysis). Experienced in use of statistical software such as R, SAS (Base SAS, Enterprise Miner, and Enterprise Guide), Python, LISREL, SPSS, and to a lesser extent, RapidMiner, Matlab, and Octave. Analytical tools include Splunk, Tableau, Google Analytics, Google AdWords and SAS Visual Analytics. Information SystemsMS in MIS with big picture perspective on information systems as well as hands on knowledge of relational databases and programming. Knowledgeable user of SQL, Python, Javascript, Java, and .Net.