May Masoud is a Data Science Specialist at SAS Canada, trained in classical Statistics and modern Machine Learning. Leveraging her analytics background, she helps businesses implement components of Artificial Intelligence and Machine Learning to surface actionable insights from their data and eliminate inefficiencies from the analytics process.
May developed her quantitative foundation through an undergraduate degree in Statistics and Economics. Following that, she advanced her applied 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 thought leadership for the business and academic community. A large focus of these efforts is on topics such as Artificial Intelligence and the ethical aspects of technology.