Helena is a seasoned Data Scientist with experience across various industries, including technology, financial services, retail, and telecommunications. Notably, she led pro bono teams that conducted descriptive and natural language processing (NLP) analyses for Global Count, and created a predictive model to inform preventive interventions to end human trafficking in the U.S.. As an experienced leader with a background in Statistics, Computer Science, and Marketing, her prior experience as a Manager and Data Scientist at major organizations like Scotiabank, Accenture, Microsoft, and Statistics Without Borders demonstrates her ability to manage complex projects and implement data-driven solutions.

Q is a Data Analyst at the School of Cities with the University of Toronto. She is interested in future cities, their sustainable adaptation and development, and their digital strategy and data governance. Q has a background in geospatial data analysis and data visualization, and has worked in various industries including transportation, health, and technology. Q has a master's degree at the University of Waterloo and was a recipient of the SSHRC Canada Graduate Scholarship. She has previously worked for the City of Toronto and the Government of Canada.

Katelyn Macdonald, PMP, holds a Masters in Environment & Business from Waterloo. Her current work focuses on community engagement for municipal climate change action and the circular economy, with the goal of applying research to explore what resilient communities look like within our increasingly complex, global society.

Luis Ticas is currently the Manager of Data Science at Scotiabank, where he leads the integration of cutting-edge generative AI technologies and data-driven strategies across business operations. With over 9 years of experience in data science, he specializes in advanced analytics, machine learning, and predictive modeling. Luis has a proven track record of spearheading transformative projects that enhance operational efficiencies and decision-making processes. He holds a Master of Management Analytics from Smith School of Business from Queens University and a Bachelor of Economics from McMaster University. Luis is deeply committed to innovation and excellence in the rapidly evolving field of data science.

Amanda Easson is a data science manager on the Canadian Personal Banking (CPB) AI/ML team at TD Bank, where she currently supports various forecasting projects for CPB Operations. Previously, she led a model innovation team, which focused on researching and applying advanced machine learning methods to various use cases in CPB. She is also an assistant instructor for the Data Science Certificate Program offered through the University of Toronto School of Continuing Studies and the Professional Development program at the University of Waterloo. Amanda holds a PhD in Cognitive Neuroscience from the University of Toronto, and was a fellow with Insight Data Science. She is passionate about using data science and analytics to make a positive impact and is looking forward to contributing to CRC's meaningful projects.

Communications Lead

Youth Data Literacy Program Lead