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May Masoud Advisor, Data Sciences
SAS CanadaMay Masoud is a Data Science Advisor at SAS Canada, trained in classical Statistics and modern Machine Learning. Leveraging her analytics background, 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 works with a diverse breadth of industries including Insurance, Telecommunications, and Public Sector. With a mix of consultative and hands-on approach, May advises clients on AI and Machine Learning best practices. Her view of AI is a holistic one, ensuring that such a solution optimizes the end-to-end business process with ethical and regulatory compliance, and brings value to the stakeholders of that process.
May developed her technical foundation through a 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 keynotes and workshops for the business and academic community. A large focus of these efforts is on topics such as Ethics of AI, Machine Learning, and Democratizing Analytics.