Ryan Ellis is a Machine Learning Engineer at EDO, Inc., where he applies advanced machine learning techniques to analyze and interpret media and advertising data. His work focuses on developing predictive models and data-driven solutions to enhance the understanding of media performance and consumer engagement.
Ryan holds a degree from the University of California, San Francisco, and is based in South San Francisco. His expertise lies in leveraging machine learning algorithms to derive actionable insights from complex datasets, contributing to the optimization of media strategies and advertising effectiveness.
In his role at EDO, Inc., Ryan collaborates with cross-functional teams to implement innovative machine learning models, aiming to transform raw data into meaningful business intelligence. His contributions are instrumental in driving data-informed decisions in the media and advertising industry