Project Info

Data Analytics and Mathematical Programming for Applications in Economics and Business

This project jointly uses data analysis and decision analysis methodologies for applications in economics and business. In the literature, there are many studies using data analysis/machine learning or optimization models for several disciplines. However, combining data and decision analysis is not common.

More Information

https://scholarworks.umass.edu/dissertations_2/850/

http://www.tulayflamand.net/research.html

https://doi.org/10.1016/j.omega.2017.10.006

https://doi.org/10.1057/jors.2015.120

http://pubsonline.informs.org/doi/abs/10.1287/ijoc.2016.0700

http://pubsonline.informs.org/doi/abs/10.1287/ijoc.2016.0703

Grand Engineering Challenge: Not applicable

Student Preparation

Qualifications

The student should have some programming experience in one of the following languages: Python, R, C++, C#, Java.

Time Commitment

5 hours/week

Skills/Techniques Gained

Data analysis of this project will allow students to learn how to collect, clean, visualize data, as well several methodologies to analyze it. Optimization will allow them to learn how to formulate real-world problems into mathematical formulations to make the optimal (best) decision under given circumstances. For this research, the output of data analysis will be used as input for the optimization model.

Mentoring Plan

I am planning to directly mentor the student by holding weekly in-person meetings and being in touch via email and Zoom. I will be closely working with the student by providing all necessary resources and directions.