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- Toronto, Ontario, Canada
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To hear a bit more about Andre and his research, we have a short YouTube video!
https://www.youtube.com/watch?v=WAMEW_kHPsMAndre Augusto Cire is an Associate Professor at the Department of Management at the University of Toronto Scarborough and the Operations Management area at the Rotman School of Management. His research investigates prescriptive optimization problems arising in supply chains, scheduling, transportation, social good, and healthcare. Andre's research agenda considers rigorous approaches that incorporate concepts from mathematical programming and artificial intelligence to derive actionable insights and computationally efficient methodologies.
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Toronto, Ontario, Canada
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Business Data Analytics: Insights & Predictive Models
MGOD31
Student-consultants will analyze data sets using state-of-the-art technologies to identify trends, establish correlations, and submit recommendations based on predictive models that can enhance decision-making in your organization.
Business Data Analytics: Insights & Predictive Models
MGOD30
Student-consultants will analyze data sets using state-of-the-art technologies to identify trends, establish correlations, and submit recommendations based on predictive models that can enhance decision-making in your organization.
Business Data Analytics: Insights & Predictive Models
MGOD30
Student-consultants will analyze data sets using state-of-the-art technologies to identify trends, establish correlations, and submit recommendations based on predictive models that can enhance decision-making in your organization.
Data Analytics for Accounting and Finance
MAF3003
Data analytics has become an essential tool for deriving actionable insights in accounting and finance, providing novel state-of-the-art methodologies for auditing, budgeting, and the overall management of the financials of a company. Students will employ the latest data-driven techniques to address an accounting/finance challenge your company faces, specifically using statistical tools and predictive models to gather insights and propose recommendations.