Corey Atkins is a data engineer with eight years of experience building production-ready analytics, ETL pipelines, and ML solutions for government and enterprise clients. He combines hands-on Python engineering (packaging, CI/CD with Jenkins, Anaconda, PyPI) with applied NLP and ML expertise—having built custom BERT models and scikit-learn pipelines—to turn complex text and geospatial inputs into actionable insights. As a former team lead he’s scaled delivery and mentored engineers, improving governance, reproducibility, and deployment reliability across projects. Recognized for pioneering analytic methods and internal tooling, he frequently authors reusable Python libraries and integrates visual and metadata sources into analytics workflows. Based in Maryland, he pairs a UMBC computer science background with operational experience across Linux, Windows, and DevOps to bridge analyst needs and production systems.
Contributions:20 releases, 14 PRs, 508 pushes in 5 years
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