Data scientists must be equal parts data and scientist. The scientist part of the role means that we pursue the truth by asking questions, posing hypotheses, and then using data to test and refine those hypothesis. In the course of this work, I do my best to ask interesting questions and occasionally stumble upon novel insights, which I share through my online posts, webinars, and research papers.
Artificial intelligence is moving at a breakneck pace and I do my best to share my thoughts on relevant topics by posting them here.
I love to teach and mentor others so I do my best to share my ideas through webinars which allow me to have a wider reach than my talks.
Before I became a technologist, I was trained as a PhD economist and researcher so I try to publish my work in peer-reviewed journals whenever I can.