Speaker: Daniel Whitenack

Data Scientist @SILintl

Daniel Whitenack (@dwhitena) is a PhD-trained data scientist with over ten years of experience developing data-intensive applications in industry and academia. He is currently working as a data scientist with SIL International, a non-profit working towards sustainable language development worldwide. Daniel also co-hosts the Practical AI podcast (@PracticalAIFM), teaches data science/engineering at Ardan Labs (@ardanlabs) and Purdue University (@LifeAtPurdue), and has spoken at conferences around the world (ODSC, PyCon, QCon AI, DataEngConf, QCon, GopherCon, Spark Summit, Applied ML Days, and more).

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Workshop : Python-Based AI Workflows - From Notebook to Production Scale