Daniel Whitenack

Daniel Whitenack is a Ph.D. trained data scientist working with Pachyderm. He 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, PyCon, GopherCon, JuliaCon, and more), teaches data science/engineering with Purdue University and Ardan Labs , maintains the Go kernel for Jupyter, and is actively helping to organize contributions to various open source data science projects.