As an organization we’re very aware of statistics trends within various aspects of our business. We've identified specific player flows worldwide as they move along their individual career path; for example AHL players flowing to Europe, etc. We would like the support of a student to evaluate and manage the player transfer data we currently have to identify further trends and if possible produce or present the incorporation of machine learning to predict where players will go based on a statistically specific season.

The student would focus on transfer data within our specific database; managing, testing, and manipulating the data to gain information and build scripts that could be used with machine learning.

Phase 1 – Project Plan: Students will meet with organization representative(s) to devise the project scope and prepare detailed plan for completion of the project.

Phase 2 – Analysis & Strategy: Students will work on deliverables outlined in the project plan. Teams will periodically communicate with organization representative(s) as needed to complete project tasks.

Phase 3 - Outcome Report and Presentation: Students will submit detailed report on the outcomes of the project. Teams will also present this in the last class. Organization representative(s) are invited to attend these presentations. Report and presentation will include:

• Clear statement of objectives
• Alternatives considered to fulfill business objectives
• Evaluation of alternatives
• What was the best solution
• Limitations and future directions
• Conclusions