Summary
John Loretizo is a data scientist and PhD candidate in Quantitative Marketing and Scientific Computing at Michigan Ross with a decade of experience applying machine learning and analytics to product reliability, customer segmentation, and operational transformation. He developed production-ready models and analytics at Tesla focused on cell quality and field reliability, and previously delivered revenue-impacting ML solutions at Citi and ERP automation in the Philippines. Complementing his industry work, his MSBA project experience spans NLP, experimental design, and dashboarding to drive measurable improvements in search relevancy and user experience. Based in Ann Arbor, he blends rigorous academic research with hands-on implementation skills across Python, SQL, and Tableau, and has repeatedly translated complex data problems into deployable solutions and process improvements. An early web developer and student leader, he brings a systems-thinking mindset and practical project management experience to interdisciplinary teams.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS Software Engineering, Bachelor of Science - BS Software Engineering at Central Philippine University
Doctor of Philosophy - PhD Marketing and Scientific Computing, Doctor of Philosophy - PhD Marketing and Scientific Computing at University of Michigan - Stephen M. Ross School of Business
Master of Science - MS Business Analytics, Master of Science - MS Business Analytics at University of California, Davis - Graduate School of Management
German, Filipino, English