Melodie Hallett is a Data Mining Specialist, Statistical Consultant, and Educator. Melodie received her M.S.in Statistics from Miami University and her Ph.D. in Computational Science with an emphasis in Statistics from Claremont University jointly with SDSU. Her dissertation focused on creating and applying novel data mining techniques, particularly random forest models, to correlated survival data. Melodie has taught at SDSU since 2001, focusing on courses in Statistics, Data Mining, SAS, SAS for Econometrics, and SPSS. Melodie has written a course reader for Statistics using SPSS. She has also been an expert witness for statistics and data mining on a class action lawsuit. She has over 20 years experience as a statistical consultant working with companies including Proctor & Gamble, Blackboard, and Hewlett Packard on a variety of analysis including sales prediction models, marketing mix models, customer segmentation, and pricing lift models.