data scientist, AI practitioner, podcaster, teacher

Daniel Whitenack

Creating real world value with state-of-the-art AI.

Daniel Whitenack (aka Data Dan) is a Ph.D. trained data scientist and founder of Prediction Guard. He has more than ten years of experience developing and deploying machine learning models at scale, and he has built data teams at two startups and an international NGO with 4000+ staff. Daniel co-hosts the Practical AI podcast, has spoken at conferences around the world (ODSC, Applied Machine Learning Days, O’Reilly AI, QCon AI, GopherCon, KubeCon, and more), and occasionally teaches data science/analytics at Purdue University.
Book a time with Daniel for some advising or to learn the latest AI technology!

“Daniel helped our organisation lay the right foundations for AI research and development. This included the right infrastructure, training the team on ML and leading in strategising our conversational AI project.”

— Alwin D., India

“Very good and clear explanation of machine learning.”

— Andrew V., Holland

“Dan has a unique ability to combine expert and practical knowledge of AI and ML methods with excellent communication and coaching approaches.”

— Stuart C., Australia