Daniel Whitenack

Bio

Daniel (@dwhitena) is a Ph.D. trained data scientist working with Pachyderm (@pachydermIO). Daniel develops innovative, distributed data pipelines which include predictive models, data visualizations, statistical analyses, and more. He has spoken at conferences around the world (ODSC, Spark Summit, R Conference NYC, PyCon, GopherCon, JuliaCon, and more), teaches data science/engineering at Purdue University (@LifeAtPurdue) and with Ardan Labs (@ardanlabs), maintains the Go kernel for Jupyter, and is actively helping to organize contributions to various open source data science projects.