Mercator AI – Project Fit Innovation

Scope of work: Develop and implement data science models to identify construction projects relevant to our clients, before they go up for bid. Apply machine learning algorithms to public and proprietary datasets to recommend contract opportunities at as early stage as possible in the building process. Develop and implement logic to be applied to this problem in a technology startup environment.

Duties: Work with front end, and back end software developers, solutions architects, data engineers, and other data scientists to develop recommendation systems from public and private data sets. Meet with clients to determine needs, provide a functional decomposition of the problem set. Use the functional decomposition to assign work tasks and priority to actionable metrics.

Skill Set: Experience with developing and implementing machine learning models in python. Data science certificate, and/or MSc in Engineering or related field. Experience with product management and deconstructing client needs into actionable items an asset.

Faculty Supervisor:

Qiao Sun

Student:

Partner:

Mercator AI Inc.

Discipline:

Mathematics

Sector:

Information and cultural industries

University:

University of Calgary

Program: