Summary
Iris Y is a data scientist with a strong blend of full-stack ML, data engineering, and analytical experience spanning across the Bay Area and New York. With eight years in the field and 2+ years focused on Python, SQL and GenAI techniques, she has applied data-driven solutions at organizations from Nielsen and healthcare provider MJHS to fintech and academic settings. Currently embedded at Adobe via Magnit and contributing at the University of San Francisco’s Data Institute, she prioritizes pragmatic models that measurably impact business outcomes. Her academic background pairs an MS from USF and an MPA from NYU with a BS in International Economics, giving her a rare mix of technical rigor and policy-level thinking. Known for shipping end-to-end solutions rather than proofs of concept, Iris thrives on translating complex data problems into operational workflows across product and research contexts.
8 years of coding experience
2 years of employment as a software developer
Master of Public Administration - MPA, Master of Public Administration - MPA at New York University
Master of Science - MS, Master of Science - MS at University of San Francisco
Bachelor of Science in Economics International Economics, Bachelor of Science in Economics International Economics at NANJING AGRICULTURAL UNIVERSITY