Elan Ding
Data Scientist
Alpharetta, Georgia, United States
Summary
👤
Senior🎓
Top SchoolElan Ding is a data scientist with eight years of experience applying advanced statistical and machine learning techniques to real-world problems, currently building risk prediction models at LexisNexis Risk Solutions. Trained in mathematics at Columbia and with graduate work at Clemson, he combines deep theoretical knowledge—stochastic processes, Bayesian methods, MLE—with hands-on expertise in time series, ensemble methods, SVMs and neural networks. His background includes statistical work in healthcare where he cleaned national survey data, analyzed chest X-rays with TensorFlow, and delivered interactive analytics apps using Plotly/Dash. A former IB mathematics teacher, he brings clear communication and pedagogical skill to explain complex models to nontechnical stakeholders. Elan is a self-learner who documents and experiments publicly on his technical blog, reflecting a continuous curiosity beyond his day job.
8 years of coding experience
Clemson UniversityBachelor's degree, Mathematics, Bachelor's degree, Mathematics at Columbia University in the City of New York
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (18)
data-science9
lifecycle9
artificial-intelligence9
lightning9
pytorch9
scaling9
python9
machine-learning9
ai9
deep-learning9
cost-management8
infrastructure8
large-language-models6
llm5
llm-inference5
Programming languages (1)
Github contributions (5)
yirending/yirending.github.io
Jun 2018 - May 2019
Contributions:255 pushes, 1 branch in 11 months
yirending/Jupyter-blog
Jun 2018 - Jun 2018
Contributions:12 commits, 10 pushes, 1 branch in 17 days
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