Paul has been in the big data analytics space since 2012 after he transitioned form teaching high school AP Mathematics. As a Data Scientist Paul has found most of his success in jobs has been in questioning basic assumptions to find better solutions to thought to be difficult problems. As a Data Architect Paul has worked with 5 major cloud vendors since 2012 in a wide range of data applications from Data Warehouses to Machine Learning pipelines.
Paul's primary areas of experience have been Fantasy Sports, Basketball Analytics, CyberSecurity, Healthcare, Education, Restaurants, and Exercise Science. He enjoys meeting new people to learn new ideas to better his skills as a developer and as a person.