Principal Data Scientist
Paul is a Data Scientist with nine years of experience across a diverse array of topics in Natural Language Processing (NLP), Big Data, and general Machine Learning (ML). He arrives by way of physics, having received his BS in physics and mathematics from MIT, followed by an MS focused in ML from George Mason.
While working for a government contractor he spent several years implementing NLP systems at groundbreaking scale. He followed that by applying ML algorithms on “big data” for business analytics at a software company. Most recently, he was a data science bootcamp instructor where he taught two 3-month bootcamps per year and worked as an in-house data scientist the remainder of the time.