Faculty Advisor

Ciaraldi, Michael J.

Faculty Advisor

Konrad, Renata

Faculty Advisor

Sweeney, Kevin M.

Center

WS / Wall Street MQP

Abstract

Angelo, Gordon & Co. is developing a statistical model of loan delinquency status. This project designed and implemented a software package to process a public data set from Wells Fargo to build a rudimentary model. The data requires significant manipulation to convert it into a useful form. A series of compartmentalized modules were created, each of which are combined to form a “Tech Stack”, which runs each step in the sequence. This ends in an upload to a cloud storage provider. Once the Tech Stack had processed the relevant data, several sample analyses were run to demonstrate the data’s capabilities. The size of the data set made computations with a single computer impractical, so a cluster was used to analyze the data.

Publisher

Worcester Polytechnic Institute

Date Accepted

January 2018

Major

Computer Science

Major

Industrial Engineering

Project Type

Major Qualifying Project

Accessibility

Unrestricted

Advisor Department

Computer Science

Advisor Department

Business

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