Daniel Whitenack is a PhD-trained data scientist and engineer at Pachyderm. His industry experience includes developing data science applications, such as predictive models, dashboards, recommendation engines, and more, for large and small companies. Daniel has spoken at conferences around the world, including Applied ML Days, Spark Summit, PyCon, ODSC, and GopherCon. He maintains the Go kernel for Jupyter and is actively helping to organize contributions to various open source data science projects.
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