Kevin Tran is a research analytics scientist on the analytics team of DARC. He supports faculty research through general data engineering and data science consultation. Kevin has broad industry experience in solving business problems with statistical analysis, developing data pipelines, enhancing and creating data products, and deploying NLP and machine learning models in production.

Before joining the DARC team, Kevin worked at a law firm, multiple startups, nonprofits, and large tech organizations. Some of his notable achievements include creating a proprietary algorithm to help lawyers estimate total liability exposure for clients at Ogletree Deakins; building risk and credit models at LoanHero; enhancing and creating AI data products for Credit Sesame and CLARA Analytics; applying a data science framework to improve various department processes at Stanford as part of the University’s IAIS team; and building data pipelines and deploying machine-learning models for both Apple and Meta clients as a senior consultant at Slalom. Kevin has received an MS in Engineering Management from USC and a BS in Applied Math from UCLA.