NCSI: Consumer Spending and Merchant Revenues

Status	Completed
Mentor Name	Filipe Correia
Mentor's XSEDE Affiliation	Research Allocation
Mentor Has Been in XSEDE Community	Less than 1 year
Project Title	Consumer Spending and Merchant Revenues
Summary	We aim to employ the multi-core architecture and high-RAM capacity of the Bridges-2 RM resource to parallelize the processing, slicing, and re-stacking of our credit card transaction dataset, containing more than 11 billion transactions. A student would help the project move forward while gaining supercomputing technical skills and mentorship.
Job Description	Student will use Bridges 2 to: - identify which are the tasks that gain from supercomputing. - query transactions on a need basis in a flexible and agile way. - execute computation-costly analyses. - prepare data visualization.
Computational Resources	We currently have 300GB storage and 30,000 core-hour allocation at Bridges-2 as part of a start-up research allocation. We might need to expand storage, given the size of our dataset. For now, these are the resources we aim to use.
Contribution to Community	This project brings consumer finance and supercomputing together, being one of the few projects in the social sciences that XSEDE hosts. Additionally, this project brings the economics and business backgrounds of the PI, co-PI, and students to be recruited.
Position Type	Apprentice
Training Plan	Attend XSEDE's training sessions and webinars that are suited for the type of work we are doing. Informal mentoring with experienced people, hands-on with project-related tasks.
Student Prerequisites/Conditions/Qualifications	The ideal student has experience in Finance or Management Information Systems. The ideal student has attended training for and utilized a supercomputer. The ideal student is familiar with research in consumer finance.
Duration	Semester
Start Date	01/10/2022
End Date	04/15/2022