Summary
Brian Deely is a data scientist with 12 years of experience applying rigorous analytics to consumer-facing products at companies like Apple, SoundCloud, and Twitter. He builds and operationalizes ranking and recommendation systems, having migrated production pipelines from Scala to Spark and created widely used listener and artist ranking datasets. Comfortable across SQL, Python, and PySpark, he pairs hands-on ETL and A/B test analysis with internal training and documentation to elevate team data literacy. His background in economics and policy research, plus early international experience working in Japanese, gives him a rare blend of quantitative rigor and cultural fluency when translating messy human behavior into actionable product signals. At Apple today, he continues to shape how technology meets culture by turning complex, noisy user data into dependable insights.
12 years of coding experience
5 years of employment as a software developer
Economics, Political Science, Economics, Political Science at University of California, Berkeley
English, Japanese