Sehyeong Kim
Data Scientist
London, England, United Kingdom
Summary
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Top SchoolSehyeong Kim is a data scientist in London with eight years of experience applying spatial analysis and event-level modelling to football analytics. Currently at Bepro, he builds sports analytics products that turn granular match event data into actionable insights for teams and broadcasters. His background in geography (MA and BA with statistics) gives him a strong spatial-statistical perspective that he leverages for player and tactic evaluation. Prior roles in analytics at SK holdings C&C honed his skills in productionizing data workflows across teams. Known for combining domain knowledge of football with rigorous quantitative methods, he often explores pitch-level spatial patterns and their impact on outcomes. Fluent in Spanish from his high-school studies, he brings a multicultural outlook to international sports data projects.
7 years of coding experience
3 years of employment as a software developer
Master of Arts - MA, Geography, Master of Arts - MA, Geography at Korea UniversitySpanish, Spanish at Hanyoung Foreign Language High School
English, Spanish, Korean
Github Skills (15)
nlp10
natural-language-processing9
bert9
python9
tensorflow9
machine-learning9
speech-recognition9
deep-learning9
transformer9
pytorch9
language-model8
transformers8
jax7
seq2seq7
flax6
Programming languages (2)
Github contributions (5)
AIIP-DEV/Auto-PyTorch
Jan 2021 - May 2021
Automatic architecture search and hyperparameter optimization for PyTorch
Contributions:5 releases, 2 PRs, 7 pushes in 4 months
pytorchhyperparameterdeep-learningoptimizationmachine-learning
AIIP-DEV/accutuning_cluster_algs
Apr 2021 - Jun 2021
Contributions:3 releases, 8 pushes, 1 branch in 2 months
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