About

Skyler Roh is a Senior Software Engineer with expertise in Machine Learning (ML) Platform. He has been working at Iterable, where he is responsible for solving complex SaaS data problems and providing autoML solutions for marketing teams. Skyler has been a member of the Experience Cloud at Adobe for four years, from 2017 to 2021, where he applied ML and data engineering to solve problems for performance-based advertising campaigns. Skyler graduated with high honors from UC Berkeley in May 2016, with a double major in Statistics and Public Health. After graduation, he joined Euclid Analytics in San Francisco, where he worked on big data problems and bridged the gap between the online and offline personalized retail experience. Skyler has experience working as a Data Scientist and ML Engineer. At Adobe, he worked on the ML team supporting Adobe's real-time bidding advertising platform and researched and developed new product features and improvements. He has also worked at Euclid Analytics, where he researched and implemented a fuzzy matching algorithm for integrating external client data to enrich their Wi-Fi dataset with actionable identifiers. Skyler has a Master of Science degree in Information and Data Science from the University of California, Berkeley, which he completed in 2021. He also holds a Bachelor of Arts degree in Statistics and Public Health from the University of California, Berkeley, which he completed in 2016. Skyler's technical skills include ML, software engineering, data science, research science, data engineering, big data, Spark, and Scala. He has almost four years of relevant experience in the field. Outside of work, Skyler loves photography/videography and everything athletics, especially baseball, volleyball, and golf.