Keiko Kamei
Lead Scientist at FICO
San Francisco Bay Area United States
Summary
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Senior🎓
Top SchoolKeiko Kamei is a Lead Scientist at FICO with eight years of experience applying statistical modeling and machine learning to real-world problems, bridging rigorous research and production analytics. She holds an Applied Mathematics degree from UC Berkeley and has a strong background in text analysis, predictive modeling, and database design, demonstrated by work converting the Federal Reserve’s Beige Books into a queryable corpus and deploying topic/sentiment analyses. At Berkeley she led curriculum development across interdisciplinary courses, coaching student teams to embed data science methods into domains from law to environmental justice. Comfortable in both R and Python, she has built tools ranging from Flask apps and BI chatbots to demand-sensing models, and is skilled at teasing signals from noisy social and economic data. Notably, she combines technical delivery with pedagogy—maintaining coding best practices and training materials while leading cross-functional teams.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Arts - BA, Applied Mathematics, Bachelor of Arts - BA, Applied Mathematics at University of California, BerkeleyJapanese Language and Literature, Japanese Language and Literature at International Christian UniversityRedwood High School, TUSD
English, Japanese
Github Skills (14)
demographics8
prediction8
census-data8
inequality6
inequalities6
statistics5
machine-learning4
data-mining4
pandas4
economics4
data-preprocessing3
data-analysis3
data-science3
cal1
Programming languages (3)
Github contributions (5)
keikokamei/WiDS_Datathon_Tutorials
Aug 2023 - Jan 2024
Contributions:26 pushes, 1 branch in 4 months
keikokamei/SFMFB-Fundraiser
Dec 2021 - Jan 2022
Contributions:21 pushes, 1 branch in 1 month
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