Shih-chuan Chiu

Senior Data Scientist (Research)

Cupertino, California, United States
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Summary

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Senior
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Top School
Shih-chuan Chiu is a Senior Data Scientist (Research) with 11 years of experience applying machine learning and analytics to search and advertising problems at companies including Google and LinkedIn. He combines hands-on experimentation in search relevance with product-minded analytics from earlier roles building marketing intelligence platforms and customer-segmentation systems. Comfortable building end-to-end solutions, he has shipped Python APIs, visualization tools, and CLV models that directly informed marketing and product decisions. Currently pursuing an MS in Analytics at Northwestern, he deepens expertise in ML, data mining, deep learning, and visualization while translating academic techniques into production impact. Based in Cupertino, he blends research rigor with practical deployment experience and a proven ability to bridge cross-functional teams. A less obvious strength is his track record moving between product management and analytics, giving him rare fluency in both feature design and model-driven evaluation.
code11 years of coding experience
job6 years of employment as a software developer
bookBachelor's degree Mathematics / Economics, Bachelor's degree Mathematics / Economics at National Taiwan University
bookExchange Student Program Mathematics / Economics, Exchange Student Program Mathematics / Economics at Ulm University
bookMaster's degree Machine Learning and Data Science, Master's degree Machine Learning and Data Science at Northwestern University
languagesChinese, Mandarin, English, German, Japanese
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Github Skills (12)

data-science9
manipulation9
python9
data-analysis9
frame9
pandas9
data-structures9
dataframes8
data-manipulation8
science8
machine-learning7
prediction4

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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Contributions:149 commits, 10 PRs, 188 pushes in 2 years
notespythonsciencedata-sciencemachine-learning
An end-to-end application to engage music fans by recommending select number of songs based on user’s song preference
Contributions:13 PRs, 52 pushes, 7 branches in 2 months
preferenceengagesongend-to-endsongs
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Shih-chuan Chiu - Senior Data Scientist (Research)