Daniel Ryu

Daniel Ryu is a data scientist with extensive experience in data analysis, automated monitoring, and machine learning. Currently employed at BOLD, Daniel utilizes advanced analytics tools to drive product insights, builds explanatory models, and automates A/B test monitoring processes. Previously, at Evernote, Daniel led feature analysis and designed self-service dashboards, while at Digital Turbine and Criteo, Daniel performed key growth analyses and reporting functions. Daniel's career began with internships in digital marketing at Genomic Health and StudyBlue, complemented by a Master of Information & Data Science from the University of California, Berkeley, and a Bachelor of Arts in Economics from UCLA.