Housing Market Data Analysis - ON-079

Preferred Disciplines: Data Science/Computer Science, Statistics, Engineering  (PhD, Post-Doc)
Company: n/a
Project Length: 12 months
Desired start date: As soon as possible
Location: Kitchener/Waterloo, Toronto, ON
No. of Positions: 1
Preferences: University of Waterloo, University of Toronto

About the Company: 

We are a small and diverse team with background in business, finance and engineering focusing on data analysis and modeling in real estate market.

Project Description:

There has been no significant scientific research conducted on the Ontario housing market. Having an insight about the market value, the important impactful parameters on the value, and the possible risks in the market can be beneficial both for the customers and the house and real estate developers. In this project, we are going to develop a statistical algorithm to valuate the housing market in Ontario using the existing open data.

Research Objectives:

  • Developing statistical algorithm for housing market valuation


  • Analyse the existing data, develop an algorithm using R or Python for market valuation, visualise the results using visualizing software such as Tableau

Expertise and Skills Needed:

    • Data analysis experience, strong programming skills
    • Expert working with R and/or Python

    For more info or to apply to this applied research position, please

    1. Check your eligibility and find more information about open projects.
    2. Complete this webform. You will be asked to upload your CV. Remember to indicate the title of the project(s) you are interested in and obtain your professor’s approval to proceed!