Advanced Analytics for Credit Unions

The worldwide data explosion would emphasize on importance of knowledge discovery from massive, heterogeneous, and dynamic volumes of information (Big Data). Similar to other industrial organizations, Credit union industry deals with massive amounts of structured (e.g. customer demographics and transactional data) and unstructured (e.g. email, social media data, comments) data which they have not utilised well to be able to proactively offer their products and services according to their customer needs. The main goal of this internship would be to perform a diagnostics analysis to gain insight over how machine learning and statistical analysis approaches can help credit union industry have a better understanding of their customers and be able to model their customer behaviours and therefore provide better services for them.

Intern: 
Mahshid Marbouti
Faculty Supervisor: 
Frank Maurer
Province: 
Alberta
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