Andrew Norris

Andrew Norris is a Data Scientist at Brainpool AI, a position he has held since February 2020. In this role, he is involved in developing custom AI solutions and leveraging machine learning to enhance business operations across various sectors, including healthcare and finance.12

Career Background

Before joining Brainpool AI, Andrew served as the Chief Technology Officer at MUSE Magazine at Queen's University from March 2019 to February 2020. He also gained experience as an Agile Software Engineering Co-op at TribalScale from April 2018 to April 2019. His educational background includes a degree from Queen's University, and he is currently pursuing a Certificate of Applied Digital Geography and GIS at Toronto Metropolitan University, which he began in January 2023 and is expected to complete by December 2023.1

Skills and Expertise

Andrew Norris specializes in data analytics and machine learning, with a focus on applying these skills to real-world problems. His work contributes to the broader mission of Brainpool AI, which aims to provide intelligent automation solutions that help clients improve their operational efficiency and product quality.2

In summary, Andrew Norris combines his technical expertise with leadership experience in technology roles to drive innovation in data science at Brainpool AI.