Chao Song
Summary
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SeniorChao Song is a Senior Applied Scientist based in Bellevue, WA with eight years of experience applying machine learning and probabilistic modeling to large-scale retail and advertising problems. He has driven substitution-aware assortment planning and million-by-million substitution-effect modeling at Amazon, and previously led demand forecasting, pricing-sensitivity, and assortment-optimization work for Sam’s Club that scaled to millions of members. With a Ph.D. in Applied Mathematics, he blends rigorous mathematical foundations and manifold-learning insights with practical engineering to deliver scalable production models and optimization heuristics. Comfortable moving between research and product, he has a track record of speeding up optimization solvers and designing metrics that tie models to business impact. An understated strength is his background in fast high-dimensional query structures and numerical solvers, which informs efficient modeling choices in production ML.
8 years of coding experience
Github Skills (119)
atom-editor10
python10
nlp10
data-visualization9
transformer9
ui-components9
hexo9
gradio-interface9
deep-learning9
pytorch9
machine-learning9
speech-recognition9
data-science9
natural-language-processing9
data-analysis9
Programming languages (7)
Github contributions (5)
Rogerspy/blog-imgs
Mar 2020 - May 2022
Contributions:329 pushes, 1 branch in 2 years 1 month
Rogerspy/ManualTag
Jun 2018 - Aug 2019
Contributions:48 commits, 44 pushes, 1 branch in 1 year 2 months
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