Naoko Suga
Senior Data Scientist, Global Product Management
New York, New York, United States
Summary
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Senior🎓
Top SchoolNaoko Suga is a senior data scientist and machine learning engineer based in New York with eight years of experience applying physics-trained analytical rigor to product and quantitative analytics at Gartner. She has progressed through senior and principal data science roles, blending statistical modeling, experimental design, and process optimization to inform global product decisions. Previously a financial analyst at Mizuho and a research intern at Columbia Business School, she leverages finance and research experience to translate complex data into actionable business insights. Bilingual in English and Japanese, she also mentors colleagues and drives cross-functional adoption of ML solutions. A practical problem-solver, Naoko is known for turning noisy, real-world data into robust, production-ready models that improve product outcomes.
8 years of coding experience
6 years of employment as a software developer
Bachelor’s Degree Physics, Bachelor’s Degree Physics at Columbia University
English, JapaneseProgramming languages (2)
Github contributions (5)
NaokoSuga/map-filter-lab-python-data-science-intro-000
May 2018 - May 2018
Contributions:298 pushes, 1 branch in 4 days
NaokoSuga/python-rest-flask-and-sqlalchemy-lab-nyc-career-ds-062518
Jul 2018 - Aug 2018
Contributions:1071 pushes, 1 branch in 15 days
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