I am currently working as a research assistant supporting the Consumer Finance Institute (formerly Payment Cards Center). My work in this role includes conducting research on various consumer patterns, preparing reports, and managing large datasets. I also have devoted much of my time to the implementation of Spark including authoring internal R packages. I've contributed to the publication of 2 journal articles. Co-written an article for International Banker. And written an article for an internal publication.

In this position I managed the multifarious data types recorded by Alterna. Using programs including Salesforce, STATA, Excel, and Huddle, I organized an efficiency flow between platforms to facilitate data entry and analysis. Additionally, I produced monthly financial and impact reports for Investors as well as various smaller projects which successfully targeted untapped market potential.

My responsibilities as a teaching assistant included grading problem sets and holding bi-weekly review sessions.

This paper contributes to the growing literature relating to exogenous social effects in home rehabilitation decisions. The empirical model used in this paper exploits differences between visible and non-visible spillover effects. Specifically, observing differences in the effects of accepted and rejected home improvement loan applications on neighboring renovation demand. This approach controls for non-random neighborhood sorting in addition to endogenous and correlated neighborhood effects. Estimation of this model exploits household level data from the Home Mortgage Disclosure Act (HMDA) that has been aggregated to the neighborhood level. In line with the sociological and economic theory, these results support the hypothesis that demand for home improvement loans in one district increases in response to a positive shift in housing renovation in and adjacent district. My results also show the presence of within neighborhood spillovers. I find that these effects decrease but remain significant with increasing distance. The findings of this paper have important implications for home policy makers and mortgage lending institutions.

In this role I organized club meetings and events, worked with KivaZip as a trustee, and sponsored two KivaZip lenders. In addition the club also worked as a consultant for web design, marketing and financial planing

Research Assistant working on default risk for HELOC loans within the RADAR unit of Supervision, Regulation, and Credit. Contributing to highly complex research projects using large micro datasets.

Designed the mappingmicrofinance website, found at ds.haverford,edu/mappingmicrofinance. In addition worked on the creation of the interactive map and dataset displaying small business resources in the Greater Philadelphia Area.