Summary
Jeffrey Shen is a data scientist with eight years of experience focused on growth, monetization, and product analytics, currently driving Flywheel and Expansion initiatives for Confluence at Atlassian. He progressed from associate data scientist roles into his current position after internships and project work at Meta and SAP, where he specialized in monetization, enterprise tooling, and production monitoring. Jeffrey combines statistical rigor from a UCLA background with practical ML experience—building recommendation models and dashboards that scaled to hundreds of users and internal teams. Based in the Bay Area and beginning a master’s in data science at Georgia Tech, he brings a blend of product-minded experimentation and operational analytics that helps turn exploratory insights into measurable business impact. An approachable collaborator who welcomes conversations, he’s comfortable moving between SQL, model development, and instrumentation to improve retention and revenue.
8 years of coding experience
2 years of employment as a software developer
Master of Science, Data Science & Analytics, Master of Science, Data Science & Analytics at Georgia Institute of Technology
University of California, Los Angeles
Chinese, English