Union Bank and Trust: Retail Data Findings

Authors

• Hunter Godina, University of Nebraska - LincolnFollow
• Noah McCashland, University of Nebraska - LincolnFollow
• Cole Johnson, University of Nebraska - LincolnFollow
• Landon Borges, University of Nebraska - LincolnFollow
• Peter Dunbar, University of Nebraska - LincolnFollow

Date of this Version

5-2022

Document Type

Thesis

Citation

Godina, H., N. McCashland, C. Johnson, L. Borges, P. Dunbar. 2022. Union Bank and Trust: Retail Data Findings. Undergraduate Honors Thesis. University of Nebraska - Lincoln.

Comments

Copyright Hunter Godina Noah McCashland Cole Johnson Landon Borges Peter Dunbar 2022

Abstract

The UBT Design Studio project focused on finding actionable data insights from the provided UBT Data Warehouse. The primary tools used to mine the data for profit-maximization strategies were Python and PowerBI. Throughout the year we deployed multiple Python ML models that analyzed entire portfolios of loans and classified them based on their risk. This data was then displayed using an intuitive PowerBI dashboard to make the information legible even for those without a technical background.