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Team

Murtaza Haider

Murtaza Haider is an associate professor of real estate management at the Ted Rogers School of Management, Ryerson University, a Director of Regionomics Inc., and an adjunct professor of engineering at McGill University. His research interests include data science and analytics, housing market dynamics, transport, and infrastructure planning.

Murtaza Haider is one of the pioneers of developing hedonic price indices for housing markets in Canada. His research in housing construction was one of the first serious attempts to analyze the supply side of housing markets. He has consulted for CMHC, Infrastructure Canada, Transport Canada, City of Toronto, Peel Region and the United Population Fund. He is an advisor to leading transport and telecommunication companies.

Haider is the author of the book Getting Started with Data Science: Making Sense of Data with Analytics, which was published in 2015 by IBM Press/Wiley. He blogs about socio-economics in South Asia for the Dawn newspaper and Huffington Post.

Murtaza Haider holds a Master’s in transport engineering and planning and a PhD in civil engineering from the University of Toronto.

Email: murtaza@regionomics.com
Tel: 416-318-1365

Stephen Moranis

Stephen Moranis is a strategic and seasoned real estate leader with broad international experience in the private, public and non-profit sectors. A proven track record with the ability to guide executive and board teams and function as a member of both the controlling and the ownership groups. Combining work attributes and personal skills resulting in creativity, innovation and strategic analysis.

Stephen is a former president of the Toronto Real Estate Board. He holds an MBA from the University of Toronto and holds additional professional designations from Real Estate Institute of Canada.

Stephen contributes regularly to local and international media. He is a sought-after commentator and an advisor on property markets.

Email: smoranis@foresthill.com
Tel: 416-818-3110

 

Chief Data Scientist

Shafquat Arefeen

Shafquat Arefeen considers himself as a translator between big data and the people who need to understand it to make business decisions. He specializes in Python, R, SQL, Ruby, Tableau, and D3.js.

Shafquat holds a Bachelors of Applied Science and Engineering in Engineering Science from the University of Toronto majoring in Mathematics, Statistics, and Finance. He is currently enrolled in the Master of Management Analytics program at the Smith School of Business.

Website: www.shafquatarefeen.com

Site designed by Shafquat Arefeen
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