Â鶹AV

Application to the MMA program is now open.

Summer 2025 (in-person delivery):
Next Deadline: January 15, 2025 (international students)

Learn how to apply

MMA Advisory Council

The Advisory Council's purpose is to help the MMA program stay informed on new trends and practices that are relevant in the industry application of data science. Specifically, members make recommendations about topics in data science that are becoming relevant in various industries, provide support and guidance to help prepare MMA students for their transition to industry, and help drive engagement with alumni and the community.


Rafael Alencar

Senior Manager - Consumer analytics, loyalty & insights

Toronto, Canada

Raf Alencar is a seasoned Business Growth Specialist with over 20 years of experience across fast-paced industries. Holding a Bachelor's degree in Computer Engineering from PUC-Rio (Pontifical Catholic University) and an MBA from Â鶹AV, Raf has a strong technical foundation that he leverages in Applied Analytics & AI Automation for businesses. Driving growth and operational efficiency through the strategic application of artificial intelligence and automation.

In addition to his professional work, Raf is committed to giving back to the community through mentoring students looking to enter the analytics space in Canada, and other passion projects like the Â鶹AV MMA Advisory Board.


NabilÌýBeitinjaneh

Academic Program Coordinator, Data Science and Analytics, Â鶹AV

Montreal, Canada

Nabil Beitinjaneh, MBA, CBDA, B. Eng., is focused on AI and Machine Learning systems and how they could be used to make the world better. He is experienced in business and strategy development, project management, systems and process engineering, people management and change management spanning both the corporate and the entrepreneurial world. He is an AI, ML and Data Analytics faculty lecturer at the Â鶹AV School of Continuing Studies who focuses on adult learners who want to reskill, guiding them on their journey to become AI-savvy change-makers.


Nicolas Grenon-Godbout

Data Science ManagerÌý

Montreal, Canada

Nicolas Grenon-Godbout is a Manager of Data Science at Ubisoft Montreal, where he helps in bringing frontline machine learning solutions to game production teams and developing data science expertise capabilities within the studio. He holds a master's degree in statistics and has a wealth of experience in supervising data initiatives and leading teams of data specialists. Nicolas also has a rich professional background in music, and he remains active as a freelance arranger and composer.Ìý


Jonathan Guzzo

Head of Liquidity and Rate Metrics for ALMT North America at BNP Paribas.Ìý

Montreal, Canada

Jonathan Guzzo is Head of Liquidity and Rate Metrics for ALMT North America at BNP Paribas. In addition to his role at the bank, Jonathan is also a manager at the AI accelerator start up, DataSphere Lab at Â鶹AV. His domain expertise includes quantitative finance, data science, risk analytics, and business intelligence. Jonathan has a bachelor’s degree in finance from Concordia University, a master’s degree in analytics from Â鶹AV, and holds a CFA charter.Ìý


Sahar Keighobadi

Manager- Data Platform, AI & BI SolutionÌý

Montreal, Canada

Sahar is an Analytics Manager at Bombardier, where she leads the company's data platform. She oversees a team of data engineers, machine learning engineers, and Power BI support to deliver AI & BI solutions that drive innovation and efficiency across the organization. With a bachelor's degree in mechanical engineering, Sahar transitioned into data and analytics after a decade-long career as an engineer. In her free time, she enjoys bouldering and practicing origami, finding balance in both physical challenges and creative pursuits.Ìý


Julie Laroche

Engagement Manager, Amazon Web Services Inc.

Montreal, Quebec

Julie Laroche currently holds the position of Engagement Manager, supporting the Quebec Public Sector at Amazon Web Services. With over 9 years of experience in the technology industry, she has held various roles, such as Data Science Director, and AI & Technology advisor. Her expertise lies in Artificial Intelligence, Business Development, Strategy & Customer Experience.Ìý


Victoria McKeownVictoria McKeown

Senior Manager, Data Science at Bell Canada

Montreal, Canada

Victoria holds a Bachelor of Commerce from the University of Calgary and a Master of Management in Analytics from Â鶹AV. She currently leads a team of data scientists, data engineers, and machine learning engineers at Bell Canada. Leveraging her experience in manufacturing, management consulting, and telecommunications she leads the development of practical solutions that propel Bell forward. Her passion lies in bridging the gap between technology and business, transforming complex data into actionable insights.

Ìý

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