Housing Market Data Analysis - ON-079
Preferred Disciplines: Data Science/Computer Science, Statistics, Engineering (PhD, Post-Doc)
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.
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.
- 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