Sooyoun Oh

Data Scientist

Washington, District of Columbia, United States
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Summary

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Rockstar
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Top School
Sooyoun Oh is a data scientist in Washington, D.C. with nine years of experience bridging computational science, numerical methods, and machine learning across national labs, academia, and industry. She has a strong research foundation—an MS in Computational Science from Georgia Tech and a Cornell CS BS—and has published first-author work on co-clustering and medical imaging augmentation while improving clustering performance and segmentation datasets. At Booz Allen and Sandia she translates research into production-ready solutions; earlier internships include optimizing neural network training in AWS SageMaker and adapting image detection for point clouds. Comfortable teaching and mentoring, she has served as a TA for numerical analysis and machine learning courses and built curriculum for youth engineering programs. Her profile reflects a blend of rigorous algorithmic thinking and practical deployment experience that reliably turns complex data problems into actionable systems.
code9 years of coding experience
job3 years of employment as a software developer
bookMaster of Science - MS, Computational Science, 3.90, Master of Science - MS, Computational Science, 3.90 at Georgia Institute of Technology
bookBachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Cornell University
languagesEnglish, Korean
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Github Skills (6)

gaussian10
stochastic-processes10
gaussian-processes10
modular9
pytorch9
gpu-acceleration8

Programming languages (1)

Python

Github contributions (5)

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soobleck/scHybridNMF

Nov 2020 - Aug 2021

Contributions:11 pushes, 3 branches in 9 months
Contributions:7 pushes, 1 branch in 14 days
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Sooyoun Oh - Data Scientist