I am a former professional poker player turned data scientist and an expert at programmatically exploring, analyzing, visualizing, and modeling data using Python. I am the author of Pandas Cookbook and founder of Dunder Data. - AMA
At the tail end of my undergraduate math degree, I began taking steps to become an actuary. I liked the systematic exam process and the near guarantee of career success.
But, as I transitioned into a Ph. D. program in statistics, online poker began to boom and measure theory in the classroom took a backseat to building player profile models at the tables.
I quit my formal education when I had just enough credits for a Master's degree. I played poker professionally for three years before burning out.
I then became an active member of society and taught high school math for 3 of the most difficult yet rewarding years of my life.
An itch emerged to apply my math skills and I got a job as a data analyst and eventually as a data scientist after attending a 12-week immersive bootcamp.
While working as a data scientist, I received several weeks of professional training. I thought it was all very poorly put together and extremely overpriced. I began teaching data science on the side.
I took a chance and started Dunder Data to help train the fundamentals of data science. My knowledge of one particular data science library in Python called Pandas grew very large. I became an expert at it and wrote Pandas Cookbook which was just released in October of 2017.
I built a Texas Hold'em heads-up limit poker bot. Try and beat it - www.gametheoryoptimalpoker.com
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