I’m an applied mathematician at heart, and have been doing data science and machine learning since before those terms were in vogue. I spent some time in academia, then worked in industry on prediction algorithms in healthcare and fraud detection. I continue to keep one foot in practice and another in theory, consulting for various tech companies and doing independent research on the side. I am an author of the ML-Insights python package (www.github.com/numeristical/introspective), which contains tools for model interpretation, probability calibration and smarter handling of categorical variables. I try to speak regularly at conferences such as ODSC and MLConf and publish a variety of content on different media (including this blog).
Feel free to send me any comments or questions at brian _at_ numeristical _dot com. Thanks for visiting!