Kendall Ernst
About Kendall Ernst
Kendall Ernst is a Field Engineer specializing in Generative AI and E-Commerce at Scale AI in the San Francisco Bay Area. With a background in consulting and analytics, Ernst has worked at notable companies including Mastercard and J.P. Morgan, and holds a Bachelor's Degree in Quantitative Social Sciences and Computer Science from Dartmouth College.
Work at ScaleAI
Kendall Ernst has been employed at Scale AI since 2022, serving as a Field Engineer in the Generative AI and E-Commerce sectors. In this role, Kendall applies technical expertise to enhance AI-driven solutions and improve e-commerce functionalities. Prior to this position, Kendall worked as an Engagement Manager at Scale AI from 2021 to 2022, where responsibilities included managing client engagements and overseeing project deliverables.
Professional Experience at Mastercard Data & Services
Kendall Ernst has extensive experience at Mastercard Data & Services, where they held multiple roles from 2018 to 2021. Initially, Kendall served as an Associate Consultant for one year, followed by a promotion to Consultant for 11 months. Subsequently, Kendall advanced to the position of Associate Managing Consultant, contributing to various projects and client solutions for nine months. This progression highlights Kendall's capabilities in consulting and data services.
Educational Background
Kendall Ernst earned a Bachelor's Degree in Quantitative Social Sciences and Computer Science from Dartmouth College, completing the program from 2014 to 2018. During this time, Kendall developed a strong foundation in quantitative analysis and programming, which supports their current work in AI and e-commerce. Prior to attending Dartmouth, Kendall graduated from The Hockaday School, completing high school from 2010 to 2014.
Early Career Experience
Kendall began their professional career as an Investment Banking Summer Analyst at J.P. Morgan in 2017, where they gained exposure to the financial sector for two months. Additionally, Kendall worked as an Econometrics Learning Fellow at Dartmouth College from 2017 to 2018, providing support in econometrics and enhancing their analytical skills. These early experiences contributed to Kendall's expertise in quantitative analysis and consulting.