John
Elmer Loretizo

John is a Ph.D. student in Quantitative Marketing at the Stephen M. Ross School of Business, University of Michigan. Currently, John is deeply interested in brand activism, digital media, and sustainability. Specifically, his research aims uncover whether brands can benefit from taking a stand on polarized societal issues. To explore these questions, John employs econometric and machine learning methods on empirical data.
Before joining Ross, John worked as a senior data scientist at Tesla on the cell quality and field reliability team. In this role, he modeled large longitudinal usage data to identify customer behaviors that led to cell-related field failures. John holds an MS in Business Analytics from UC Davis Graduate School of Management and a BS in Software Engineering from Central Philippine University in the Philippines.

University of Michigan Ann Arbor, MI
Ph.D. in Quantitative Marketing, August 2023-Present

University of California, Davis San Francisco, CA
MS in Business Analytics, August 2019-June 2020

Central Philippine University Philippines
BS in Software Engineering, June 2013-May 2018

Tesla, Inc. Fremont, CA
Senior Data Scientist, Cell Quality and Field Reliability, Sep. 2022-Jul.2023
Data Scientist, Jun. 2021-Sep.2022
Associate Data Scientist, Aug. 2020-Jun.2021

• Identified key accelerating factors leading to cell-related failures by conducting analysis on 2+ trillion fleet usage data that resulted in software updates reducing risk and provided guidance in cell development research
• Quantified relationships between process metrics and field failures through survival analysis using R that helped identify areas of improvement in manufacturing
• Correctly classified 80% of failure mechanisms by developing a two-level failure detection model using Python