Daniel Tan
Senior Data Scientist
Singapore
Summary
👤
Senior🎓
Top SchoolDaniel Tan is a Senior Data Scientist based in Singapore with a decade of experience building experimentation, personalization, and MLOps platforms across top tech and finance firms. He has driven A/B and offline experiment infrastructure and recommendation systems at Apple and is now applying that expertise to large-scale data challenges at Google. His background spans production ML for commerce and banking—optimizing bidding systems at TripAdvisor and next-best-action personalization and feature stores at OCBC—paired with hands-on model development and ETL engineering. Daniel combines academic rigor from Georgia Tech with practical teaching and mentorship experience, and maintains a history of applied projects (including a public autocomplete and Kaggle forecasting work) that reflect a strong focus on real-world impact and reproducible pipelines.
10 years of coding experience
10 years of employment as a software developer
Data Science Part Time, Data Science Part Time at General AssemblyMaster of Science in Computer Science, Master of Science in Computer Science at Georgia Institute of TechnologyBachelor of Science (BSc) Information Systems, Bachelor of Science (BSc) Information Systems at Singapore Management UniversityData Science Mentorship (100 hours), Data Science Mentorship (100 hours) at Springboard
Chinese, English
Github Skills (60)
data-quality10
lists10
unicorns10
machine-learning10
reinforcement-learning10
documentation-generator10
deep-learning10
natural-language-processing10
computer-vision10
science10
jupyter9
data-science9
data-engineering9
sphinx-doc9
dataframe9
Programming languages (6)
Github contributions (5)
ddanieltan/autocomplete
Oct 2016 - Jan 2017
Contributions:35 commits, 26 pushes, 1 branch in 2 months
ddanieltan/ddanieltan.com
Jul 2022 - Jul 2024
Personal blog built with quarto - https://ddanieltan.com
Contributions:1 review, 1 PR, 84 pushes in 2 years
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