Mar 15–18, 2020
Mario A. Vinasco

Mario A. Vinasco
Director, BI and Analytics, Credit Sesame

Website

Mario Vinasco is the director of BI and analytics at Credit Sesame, a disruptive fintech company in the San Francisco Bay Area, responsible for customer management, retention, and prediction. He has over 15 years of progressive experience in data-driven analytics, with an emphasis in machine learning and data science programming creatively applied to ecommerce, advertising, customer acquisition and 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. Previously, Mario was at Uber, applying data science to marketing investment optimization; advanced segmentation of customers by propensity to act, churn, and open email; and set up sophisticated experiments to test and validate hypotheses; at Facebook he was in the marketing analytics group and was responsible for improving the effectiveness of Facebook’s consumer-facing campaigns, including ad effectiveness measurements of Facebook’s brand marketing activities and product campaigns for key product priorities using advanced experimentation techniques; and he was the vice president of business intelligence in a digital textbook startup, people analytics manager at Google, and an ecommerce senior manager at Symantec. Mario earned a master’s degree in engineering economics from Stanford University.

Sessions

4:15pm4:55pm Tuesday, March 17, 2020
Location: LL21B
Mario A. Vinasco (Credit Sesame)
Uber spends hundreds of millions of dollars in marketing and is constantly optimizing the allocation of these budgets. It deploys complex models using Python and PyTorch and borrows from machine learning (ML) to speed up solvers to optimize marketing investment. Mario Vinasco explains the framework of the marketing spend problem and how it was implemented. Read more.

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