May Masoud is a Data Science Advisor at SAS Canada, trained in classical Statistics and modern Machine Learning. She helps Canadian organizations design their Artificial Intelligence strategy and technology mix. Her focus is on deriving measurable business value from AI investments while maintaining enterprise governance and ethical considerations.
May developed her technical foundation through a degree in Statistics and Economics. Following that, she advanced her analytics toolkit with a Masters of Business Analytics from the Schulich School of Business. This cocktail of technical and business expertise has shaped May as an analytics practitioner and a thought leader. Outside of her client engagements, May invests her time in developing and delivering keynotes and workshops for the business and academic community. A large focus of these efforts is on topics such as Ethics of AI and Machine Learning. May fuels her motivation through powerlifting and pushes boundaries snowboarding.