Evan Ruzanski, Ph.D.
About Evan Ruzanski, Ph.D.
Evan Ruzanski, Ph.D., serves as a Senior Technical Manager in Data Science at Ibotta, Inc., where he focuses on machine learning models for digital marketing and consumer packaged goods. He has extensive experience in academia and industry, holding positions at Colorado State University and Vaisala, among others.
Work at Ibotta
Evan Ruzanski, Ph.D., serves as the Senior Technical Manager for Data Science at Ibotta, Inc. since 2021. In this role, he focuses on developing machine learning models that support the company's Digital Marketing and Consumer Packaged Goods initiatives. Ruzanski utilizes a tech stack that includes AWS S3, Hive, Spark, Presto, SQL, and Python to enhance the quality of customer transaction data. His work is integral to driving data-driven decision-making within the organization.
Education and Expertise
Evan Ruzanski holds a Doctor of Philosophy (Ph.D.) in Electrical Engineering from Colorado State University. He also earned a Master of Science (MS) in Electrical and Computer Engineering from the University of California, Santa Barbara. His foundational education includes a Bachelor of Science (BS) in Electrical Engineering from Colorado State University. Ruzanski's academic background provides a strong basis for his expertise in machine learning and data science.
Background
Ruzanski has a diverse background in academia and industry. He has been affiliated with Colorado State University since 2011, contributing to the Department of Electrical and Computer Engineering. His previous roles include serving as a Visiting Researcher at the National Center for Atmospheric Research and a Graduate Research Assistant at both the University of Colorado Boulder and Colorado State University. He has also held significant positions at Vaisala, where he worked as a Senior Scientist and Technology Owner.
Achievements
Evan Ruzanski has made notable contributions in his field, including streamlining a key hiring process at a mobile technology company, reducing the time from 7 days to 90 minutes. He has developed the vision and roadmap for a data science team, focusing on achieving critical business impacts in both the short and long term. Additionally, he has served as an Editor for the Journal of Atmospheric and Oceanic Technology at the American Meteorological Society since 2016.