Yunhak Oh
Graduate Student
Seoul Incheon Metropolitan Area South Korea
Summary
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Top SchoolYunhak Oh is a data science leader and graduate student with 8 years of experience translating complex retail and e-commerce data into actionable business value across FMCG markets. He has led production-grade initiatives at Nielsen and NielsenIQ—building LSTM classifiers, automated inquiry platforms, and R packages that dramatically reduced processing times and improved data quality and coverage. His work blends statistical modeling, optimization, and pragmatic engineering (R, Python, SQL) to ship robust measurement services and new product indices like e-cigarette and e-commerce indices. At KAIST he contributed to graph-based semi-supervised learning research (SIGIR 2022), showing a bridge between academic methods and industrial impact. Notably, he introduced genetic and combinatorial optimization techniques to sampling and data-estimation problems, an uncommon mix of theory and hands-on transformation in market measurement.
7 years of coding experience
6 years of employment as a software developer
Bachelor of Science in Engineering - B.S.E, System Management Engineering (Industrial Engineering), 4.27, Bachelor of Science in Engineering - B.S.E, System Management Engineering (Industrial Engineering), 4.27 at 성균관대학교Master's degree, Industrial and Systems Engineering, Master's degree, Industrial and Systems Engineering at Korea Advanced Institute of Science and Technology
English
Github Skills (11)
graph-convolutional-networks7
graph-neural-network7
pytorch7
graph7
deep-learning7
geometric-deep-learning6
neural-network4
jekyll3
jekyll-theme3
responsive2
github-pages1
Programming languages (2)
Github contributions (5)
yunhak0/yunhak0.github.io
Apr 2022 - Feb 2025
A beautiful, simple, clean, and responsive Jekyll theme for academics
Contributions:48 pushes, 5 branches in 2 years 10 months
responsive-jekyll-themeacademicscleanjekylljekyll-theme
yunhak0/awesome-reviews-kaist
Apr 2022 - Jun 2022
Contributions:41 pushes in 1 month
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