Mario Vinasco has over 15 years of experience in data driven analytics with emphasis in database programming and machine learning creatively applied to eCommerce, advertising, customer acquisition/retention and marketing investment. Mario specializes in developing and applying leading edge business analytics to complex business problems using big data and predictive modeling platforms.
Mario holds a Masters in engineering economics from Stanford University and currently manages a team of data science at Uber Technologies responsible for customer management, retention and prediction. The team conducts advanced segmentation of customers by propensity to act, churn, open email and set up sophisticated experiments to test and validate hypothesis.
Until recently, Mario worked for Facebook as data scientist in the consumer marketing group; in this role he was responsible for improving the effectiveness of Facebook’s own consumer-facing campaigns. Key projects included ad-effectiveness measurement of Facebook’s brand marketing activities, and product campaigns for key product priorities using advanced experimentation techniques.