Mizuhiro Suzuki
Manager - Quantitative Analyst
Virginia, United States
Summary
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Top SchoolMizuhiro Suzuki is a quantitative analytics manager at Capital One with eight years of experience applying econometrics, causal inference, and scalable Python engineering to large-scale credit models. He transitioned a legacy codebase into a modern Python toolkit using Dask and Spark, cutting cloud costs and run times by over 90% while enabling smoother model development and deployment. A UW–Madison Ph.D. in Development Economics, he brings academic rigor to applied problems, from default prediction on billions of records to drone-image crop classification and text analysis for field surveys. He also placed in the top 1% of a TensorFlow image‑ML competition on AWS, demonstrating hands-on ML skill alongside his statistical toolset in Python, Julia, R, C++, Stata and MATLAB. Based in Virginia, he blends research-grade causal thinking with production-focused engineering to deliver interpretable, cost-efficient analytic solutions.
7 years of coding experience
8 years of employment as a software developer
Ph.D., Development Economics and International Development, Ph.D., Development Economics and International Development at University of Wisconsin-MadisonBachelor's degree, Agricultural Economics, Bachelor's degree, Agricultural Economics at Kyoto UniversityMaster's degree, Economics, Master's degree, Economics at Hitotsubashi University
Github Skills (13)
jekyll-theme9
ado9
jekyll9
stata9
graph6
economics5
aws5
data-visualization4
data-science4
analytics4
data-analysis4
nlp2
data-analytics1
Programming languages (10)
Github contributions (5)
worldbank/stata-linter
Sep 2020 - Dec 2022
Contributions:56 commits, 12 PRs, 43 pushes in 2 years 3 months
mizuhirosuzuki/mizuhirosuzuki.github.io
May 2021 - Dec 2024
A beautiful, simple, clean, and responsive Jekyll theme for academics
Contributions:6 PRs, 115 pushes, 4 branches in 3 years 7 months
responsive-jekyll-themeacademicscleanjekylljekyll-theme
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