Summary
Jeremy Guinta is a Senior Managing Director and data scientist with nine years in senior leadership and over 15 years of litigation consulting experience, specializing in complex data analysis and machine learning for high-stakes labor, consumer privacy, and TCPA class actions. He leads multidisciplinary teams to craft defensible damage calculations, predictive models, and high-density visualizations used at trial, and regularly trains attorneys and analysts on R, MS SQL, and advanced visualization techniques. Proficient in R (data.table, h2o, ggplot2, tidyverse) and MS SQL, he combines deep statistical programming chops with practical courtroom experience to translate messy real-world data into actionable legal insights. An adjunct professor in predictive analytics and advanced SQL, he pairs academic teaching with hands-on consulting, bringing rigor from his UCLA Applied Statistics master’s to complex litigation problems. Based in Pasadena, he is known for turning large, privileged datasets into persuasive, defensible narratives that support both discovery and trial strategy.
9 years of coding experience
24 years of employment as a software developer
Bachelor of Arts Economics, Bachelor of Arts Economics at University of California, Davis
St. Francis High School
University of California, Los Angeles