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Global Principal Data ScientistI am currently the tech lead of tech leads across all global products pertaining to commercial applications of machine learning (sales, marketing, and finance).AB-InBevCURRENT Jan, 2023
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Senior Global Manager of Data Science and AnalyticsTech lead + manager for team of 10 Data Scientists dedicated to providing Machine Learning solutions to report the efficacy of marketing tactics as well as automate the allocation of marketing spend.AB-InBevMar, 2021
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Senior ML Research ScientistMy areas of research were Graph Neural Networks applied to product introduction, embedding regularization techniques, and transparent neural architectures. Published a patent at the intersection of contrastive loss and anomaly detection.PepsiCo EcommerceOCT, 2020
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Data ScientistMy main contributions were an internal API for training deep learning systems with economic priors, which has been used for optimizing marketing spend and determining price elasticity. I also designed a multi-modal Graph Embedding model capable of measuring product similarity, which has been integrated with multiple models to help account for product cannibalization.PepsiCo EcommerceJUl, 2019
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Master of Science in CSMy area of research focus was Machine Vision applications for Gait Recognition and Classification of Pathological Disorders. I pursued this research at the RiskEcon Lab for Decision Metrics, and published this corresponding survey paper.New York UniversitySEP, 2017
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Bachelor of Arts in Math & CSNew York UniversitySEP, 2013