Statistician (Ph.D., Yale Statistics) with over 30 years of experience in data mining, statistical data analysis, and building machine learning models (response, predictive, prescriptive) for marketing and behavior change applications. A pioneer and leader in digital (web, mobile, and now IOT) analytics. A designer of Big Data, IOT (Internet of Things), Connected Consumer Analytics applications. ROI Measurement, Forecasting and Optimization, Financial Impact Modeling and Business Intelligence. Actuary. Hands-on Analytics Executive and Data Storyteller.Specialties: Attribution / Marketing Mix Modeling, Customer Behavior / User Experience / Journey Analytics, Behavior Change Application Design & Development, Mobile and Website Analytics using Adobe Analytics Marketing Cloud (Omniture), Google Analytics, IBM Digital Analytics (Coremetrics, Unica, Tealeaf), Webtrends, Flurry, Localytics, MixPanel. Tag Management Systems (Ensighten, Tealium, Segment) User Optimization on Mobile and Desktop Applications. Search Engine Marketing/Optimization (SEM/SEO). Big Data, Database Marketing, Data Mining, Big Data Analytics, Cluster Analysis & Classification, Customer Market Discovery/Segmentation, Statistical Analysis & Predictive Modeling, Business Intelligence.Applications: Behavior Change, Context Aware apps and other Big Data Analytics and Data Science applications for IOT and Connected Consumer applicationsAnalytics results must always be related to business goals and objectives. Delivering great analytics results disconnected from business goals is like bringing home only pizza and beer when asked to buy baby formula and diapers.