Building data set for Hockey Analysis – developing online betting behavioral models and risk assessments - BC-798
Project type: InnovationDesired discipline(s): Computer science, Mathematical Sciences, Mathematics, Statistics / Actuarial sciences
Company: GSL Group of Companies
Project Length: 6 months to 1 year
Preferred start date: 04/03/2023
Language requirement: English
Location(s): Vancouver, BC, Canada; Canada; Canada
No. of positions: 1
Desired education level: Undergraduate/BachelorMaster'sPhD
Open to applicants registered at an institution outside of Canada: No
About the company:
GSL Group includes a wide range of businesses including Real Estate Development, Holdings and Construction (Commercial, Industrial, Residential and Sports & Entertainment Facilities), E-Commerce, Sports and Entertainment, Travel & Hospitality, Food & Beverage, and Agriculture.
Describe the project.:
Building data set for Hockey Analysis – developing online betting behavioral models and risk assessments
The aim of the project is to build adapting models to understand sports outcomes, predictive and assessment. Hoping to better understand and predict online betting behavior with our customers and mitigate our risks.
This will be accomplished by building machine learning tools in Python and R (SQL database), adjusting models and identifying data trends.
Required expertise/skills:
Specific software, specific skills. Python, R, SQL
