Yitong Liu is a Staff Data Scientist based in Stockholm with eight years of experience turning complex data into product and business impact across consumer tech and blockchain startups. She has driven multi‑market launches and growth at Spotify and TikTok—delivering multi‑million iMAU improvements through search localization, messaging optimization and the first productionized uplift ML model for messaging. At Blowfish she led analytics for a VC-backed anti‑scam blockchain startup through a successful exit, and now applies that blend of research rigor and product focus at Wolt. Trained as an engineer and materials scientist, she combines deep quantitative skills and production ML experience with a knack for pragmatic experimentation and causal inference. Notably, her career spans both R&D engineering and data science, giving her an unusual fluency in bridging experiment design, instrumentation and scalable analytics.
8 years of coding experience
9 years of employment as a software developer
Master's degree, Materials Engineering, Master's degree, Materials Engineering at Ecole Nationale Supérieure des Mines de Nancy
Bachelor, Materials Science and Engineering, French, Bachelor, Materials Science and Engineering, French at Tongji University
Master thesis, Microsystem Technology, Master thesis, Microsystem Technology at KTH Royal Institute of Technology
Engineering Physics/Applied Physics, Engineering Physics/Applied Physics at Luleå University of Technology
Master of Science (M.Sc.), Materials Science and Engineering, Master of Science (M.Sc.), Materials Science and Engineering at Ecole Européenne d'Ingénieurs en Génie des Matériaux
Imports the entire The Movie Database dataset into a postgres SQL database
Contributions:1 PR, 3 pushes, 1 branch in 1 year 11 months
sql-databasesqldatasetmoviemovie-database
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