# Stuart Jaffe > MLE at Ramp Location: New York, New York, United States Profile: https://flows.cv/stuartjaffe As a machine learning engineer, I'm committed to listening closely to business stakeholders to determine key business drivers and integrate machine learning, statistics, and mathematics into the larger business context. I then design, develop, deploy, and monitor targeted machine learning and large language models that address critical business needs. I take a structured approach to the design, development, and deployment of machine learning and large language models, ensuring that the models are responsive and trainable and deliver real value. I thrive on solving ambiguous problems and methodically break problems down from first principles and then move up the chain of complexity. This clear, structured approach enables me to consistently deliver clear solutions to a wide range of technical and business challenges—solutions that clarify tough issues and deliver clear business value. ## Work Experience ### Staff Machine Learning Engineer @ Ramp Jan 2025 – Present | New York, New York, United States ### Data Scientist @ Order Jan 2022 – Jan 2025 | New York, New York, United States I create data and machine learning solutions for this provider of procurement systems that consolidate vendors and simplify SMB purchasing. ### Analytics Manager @ TrialSpark Jan 2020 – Jan 2020 | New York, New York, United States I performed modeling to streamline future clinical trials. -Implemented intuitive, Bayesian trial reporting—increasing usability over previous frequentist t-test value methodology. ### Data Scientist @ Fundera Jan 2019 – Jan 2020 | New York, New York, United States I was mandated to begin work on an ML platform to fuel sales growth with the existing sales team for this provider of small business loans. -Developed models to resurrect dormant accounts—growing conversion rate significantly. ### Analytics Manager @ Credit Karma Jan 2017 – Jan 2018 | San Francisco, California, United States I partnered with engineering to develop A/B testing strategies, managed expectations across groups, and led a team of 2-3 analysts supporting the largest business line, credit cards. I leveraged my finance and technical background in a large data project to predict credit card approval based on multiple factors. I translated AdaBoost tree models to SQL-like logic, developed credit models, and created systems to score models. -Increased credit card approvals per 1000 impressions by 2.1x through higher approval rates and increased click rate, presenting attractive credit card offers to a wide subset of customers. I worked with bank partners to implement a CC pre-qualification system and performed initial modeling. -Increased click rates significantly through certain nature of approval versus offers served by probabilistic model. ### Lead Analyst @ Credit Karma Jan 2015 – Jan 2017 | San Francisco Bay Area ### Senior Analyst @ Credit Karma Jan 2014 – Jan 2015 ### Analyst @ Credit Karma Jan 2013 – Jan 2014 ## Education ### Bachelor's of Arts in Economcs University of California, Berkeley ### Master's degree in Computer Science University of Illinois Urbana-Champaign ## Contact & Social - LinkedIn: https://linkedin.com/in/stuart-jaffe --- Source: https://flows.cv/stuartjaffe JSON Resume: https://flows.cv/stuartjaffe/resume.json Last updated: 2026-04-07