Carlos is drawn to analytics for its power to capture complex relationships and influence decision making. Previously, Carlos was lead statistician for a marketing research firm where he engaged in every stage of the project lifecycle from collecting, cleaning and analyzing data, to building and deploying models. Carlos specialized in predictive modeling (with responsibility also for text mining, segmentation, and structural equation modeling) and enjoyed automating tasks to save clients’ time.
Carlos earned a BA in Economics from the University of Arizona and an MS in Analytics from NC State University, and loves learning continually, from coding in new languages, to mastering the classical guitar.