Jeffrey Li
Software Engineer
Hong Kong Island, Hong Kong, China
Summary
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SeniorJeffrey Li is a Senior Data Scientist with a decade of experience building forecasting and causal inference systems for high-growth tech and ad-driven businesses. He has led forecasting, ML, and data infrastructure teams at Spotify and now drives ads forecasting at Netflix, with prior roles at DoorDash where his recommendations and experiment work delivered seven- to eight-figure impact. Jeffrey combines hands-on modeling (hierarchical time series, Prophet, LightGBM) with rigorous causal methods (diff-in-diff, synthetic control, clustered SEs) and a track record of productionizing end-to-end pipelines that power revenue decisions. He also builds tooling and teaches—having authored courses used by thousands and shipped Spotify’s first internal diff-in-diff Python package—reflecting a blend of product-minded leadership and practitioner depth. Based in Hong Kong and with roots in the US tech ecosystem, he’s known for turning complex experimental signals into actionable forecasts that scale.
10 years of coding experience
Github Skills (6)
shared-memory4
typescript1
frontend1
backend1
nodejs1
angular1
Programming languages (5)
Github contributions (5)
li-jeffrey/spsc
Jul 2021 - Jul 2021
Shared memory single-producer single-consumer (SPSC) queue
Contributions:28 commits, 23 PRs, 25 pushes in 17 days
shared-memory
li-jeffrey/imbhy
Jun 2021 - Oct 2022
Live bus timetable display using data.gov.hk APIs for KMB and NWFB/Citybus.
Contributions:2 PRs, 20 pushes, 4 branches in 1 year 4 months
govapidata-govbusbus-timetable
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