Craig Burkett

A former aerospace engineer and Statistics professor at the University of Toronto, Craig brings a rigorous academic background to all data science and machine learning problems. His strong fundamentals ensure that BSC is always answering the correct questions with the correct theoretical tools, and he’s constantly on the lookout for fallacies, much to the annoyance of everyone he works with!

Craig started the business in 2011 while pursuing his graduate degree, and has been consulting full-time through BSC since 2019. His experience teaching the next generation of data science practitioners and consulting in the professional software services industry have allowed him to strike a nice balance between academic and industry practices, which are often in tension with one another. It is this balance that allows Craig to “get things right” on a project, while still delivering quickly.

Craig specializes in hypothesis testing (insights!), the visual display of data (dashboards!), and predictive analytics, as well as general project management. He is very lucky to be surrounded by extremely capable colleagues.