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Alexander Scott

Lecturer
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Overview

Alex Scott is an instructor in the Analytics group at Smith School of Business and a Sr. Director at Borealis AI, the Royal Bank of Canada’s AI Research Institute. At Borealis AI he heads the Product Management and Business Engagement teams.

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Appointment Type

Continuing Adjunct

Academic Area

  • Management Analytics

Interest Topics

  • Analytics & Artificial Intelligence (AI)
  • Economics
  • Innovation
  • Management
  • Mergers & Acquisitions
  • Operations
  • Strategy & Innovation
  • Technology & Information Systems

Faculty Details

Profile

Full Bio

Alex Scott is an instructor in the Analytics group at Smith School of Business and a Sr. Director at Borealis AI, the Royal Bank of Canada’s AI Research Institute. At Borealis AI he heads the Product Management and Business Engagement teams.

Prior to Borealis AI, Alex led data science teams in the Analytics Center of Excellence at TD Bank and held various roles in management consulting at EY, Novantas, and the Carly Rian Group.

Alex has an MMA and BCom from Smith School of Business.

Academic Degrees

MMA (2017)
BCom (2014)
Queen's University, Canada

Academic Experience

Smith School of Business | Queen's University
Lecturer, continuing adjunct (2019 – Present)
Teaching Assistant (2012 – Present)

Publications

Textbooks

First Author, Textbook: From Data to Insight                                  
Jan 2019 – Present

  • Co-authored a textbook on analytic concepts including data acquisition, data prep/wrangling, modelling, and data quality to support the delivery of (G)MMA860

First Author, Textbook Statistics for Analytics and Artificial Intelligence  
Jan 2019 – Present

  • Co-authored a textbook on statistics concepts including probability, random variables, and hypothesis testing to support the delivery of (G)MMA863

First Author, Analytical Decision Making  
Jan 2019 – Present

  • Co-authored a textbook on analytical decision making including linear programming, random variables, and queueing theory to support the delivery of (G)MMA861

Research

Research Assistant, MMA – Customer Loyalty Analytics with Anton Ovchinnikov     
Aug 2016 – Mar 2017

  • Modeled customer behaviour using neural networks, CART, and simple linear regression to better understand the dollar impact of creating a new platinum status tier in a national loyalty program
  • Identified and modeled the behaviour of strategic customers to determine the dollar impact of customers who exploit mile-run opportunities as part of a strategic customer research paper

Econometrics Thesis (COMM502), BCOMM – Bootstrap Power Curves    
Sep 2013 – May 2014

  • Using SAS, developed a model to test the performance of a Bootstrapping procedure on a small data sample (using either a real data set, or a sample data generating process) by completing a Monte Carlo analysis
  • Wrote a thesis discussing how using a Bootstrap procedure to increase statistical power is a useful cost saving technique in industries with expensive or destructive sampling requirements (i.e., pharmaceutical, automakers)