Eliezer Wung is a data scientist with nine years of experience building production-ready analytics and deep learning systems, currently based in Madison, Wisconsin. He specializes in rapid prototyping and full-stack backend development, having led freight audit and auto bill-pay projects that delivered multi-million dollar annual savings. His background spans quantitative finance and signal-based feature engineering—developing multi-factor deep learning frameworks, automated parameter tuning, and large-scale NLP pipelines with high labeling accuracy. Comfortable moving from research to deployment, he combines statistical rigor with pragmatic engineering to turn complex datasets into cost-saving products. An avid musician earlier in his career, he brings creativity and team leadership from the stage into collaborative technical projects.
Contributions:29 commits, 23 pushes, 1 branch in 1 month
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