Michihiro Nakamura
Data Engineer
Chiyoda, Japan
Summary
👤
Senior🎓
Top SchoolMichihiro Nakamura is a data engineer with 10 years of experience building production-ready data pipelines, ML systems, and recommendation engines across fintech and media products in Tokyo. He has deep domain expertise in consumer credit scoring—having created models for major Japanese banks—and practical experience applying image recognition, text classification, and LLMs to automate business workflows. At Uzabase/NewsPicks he combines data engineering with hands-on ML work to improve personalization and internal analytics, while earlier roles spanned customer-facing AI solutions and retail analytics. Trained as a physicist at the University of Tokyo, he brings a research mindset to model interpretability and pragmatic deployment, often teaching data skills to cross-functional teams. Not obvious from titles: he moves fluidly between backend API development, ETL design, and advanced modeling, enabling end-to-end delivery of data products.
10 years of coding experience
7 years of employment as a software developer
University of Tokyo
Github Skills (60)
r9
dbt9
data-modeling9
slack9
pypi9
python8
least-squares8
sql8
analytics8
preprocessing7
airbyte7
linter7
pdf7
business-intelligence7
aws7
Programming languages (9)
Github contributions (5)
newspicks/eals
Jul 2021 - Aug 2022
A Python implementation of the element-wise alternating least squares (eALS) for fast online matrix factorization proposed by arXiv:1708.05024
Contributions:2 releases, 3 reviews, 23 commits in 1 year 1 month
least-squaresmatrix-factorizationpython
nakamichiworks/PyAirbyte
Jul 2024 - Jun 2025
PyAirbyte brings the power of Airbyte to every Python developer.
Contributions:7 pushes, 1 branch in 10 months
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