David Arenburg is a Senior Data Scientist and Tech Lead with 11 years of experience applying statistics and machine learning to production problems across advertising, enterprise, and government domains. He combines hands-on expertise in R, Python, SQL, Spark, TensorFlow/Keras and modern MLOps (MLflow, Jenkins, Git) with AWS deployments to move models from prototype to reproducible, monitored production. Known for pragmatic judgment, he chooses the simplest effective model or the necessary deep network depending on context, and enforces DRY, well-documented code and unit-tested pipelines. At HP he splits time between building diverse ML solutions (time series, NLP, clustering, image) and mentoring engineers on methodology and tooling. Active in the data community—StackOverflow contributor, former Coursera mentor and r/data.table member—he balances rigorous statistical grounding with a strong focus on business value and interpretability.
11 years of coding experience
14 years of employment as a software developer
B.A., Statistics, B.A., Statistics at The Hebrew University of Jerusalem
Contributions:1 PR, 6 pushes, 2 branches in 8 months
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