Jaemin Kweon is a data scientist with a decade of experience turning complex operational data into actionable insights across tech and life-science environments. He has driven end-to-end analytics at companies including Meta, Coupang and SmartNews, building pipelines, dashboards and monitoring systems that remediated revenue and supply-chain risks. At Coupang he defined consumption sources and delivery-profile metrics from upstream logging to Tableau visualization, while at Meta his analysis triggered a cross-functional taskforce to fix advertiser account remediation gaps. Earlier roles at Facebook involved automating moderation signals for APAC markets and co-founding a regional analytics program to scale data literacy. Trained as a chemical engineer at UC Berkeley, he brings a quantitative, experimental mindset to product-facing analytics and cross-team technical collaboration. Colleagues rely on him for pragmatic, hands-on solutions that expose hidden failure modes in data and pipelines.
10 years of coding experience
6 years of employment as a software developer
B.S. Chemical Engineering, B.S. Chemical Engineering at University of California, Berkeley
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