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Kyle Eschen

Data Scientist / Machine Learning Engineer

Stanford, California, United States · 1 connection

Kinetic Press

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About

Data scientist and software engineer with experience building data pipelines, internal tools, custom processing systems, and analytical workflows. Strong background in SQL-based data analysis, experiment design, causal inference, and stakeholder communication, combined with hands-on TypeScript, Python, R, and Clojure engineering experience building greenfield software, DSLs, automation workflows, and reusable libraries from scratch.

Experience

Founder Software EngineerKinetic Press
Dec 2020

Performer Public SpeakerSelf-employed
Jun 2015

Masters StudentUC Berkeley School of Information
Dec 2018 to May 2021

Data AnalystJuntos Global
Sep 2015 to Dec 2018

Research AssistantStanford University
Jun 2014 to Aug 2014

Research AssistantThe World Bank Group
Jan 2014 to Mar 2014

Education

Stanford University
Bachelor of Arts - BA, Economics
2011 to 2015

University of California, Berkeley
Master of Science - MS, Information and Data Sciences
2018 to 2021