Multi-regional salary prediction model

The task of predicting salaries for a given job title and seniority in a specific region is challenging due to the complexity of various factors as well as the sensitivity of salary data. It’s hard to get an accurate sense of what people are getting paid in many regions in the world and getting harder as companies are hiring globally.
The objective is to create a machine learning model that considers the relevant features such as cost of living, job demand, education levels, etc., to provide valuable insights for quarterly budget planning or recruitment purposes. The model can help in understanding the regional job market trends and compensation practices, for the customers to make more informed decisions.

Faculty Supervisor:

Mariano Consens

Student:

Partner:

Agentnoon

Discipline:

Computer science

Sector:

Information and cultural industries

University:

University of Toronto

Program: