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Quinn Fargen

Data Analyst

About Me

I am currently a Credit Data Manager at Vervent Card in Sioux Falls, SD. In the Spring of 2019, I completed my MS in Data Science at SDSU following my undergrad in Mathematics with minors in Accounting and Statistics. My undergrad, masters, and a prior internship with Vervent Card have been an enjoyable process and transition into the real world. These ventures as well as personal self-learning have made me eager to continue to build on my data analysis, predictive modeling, and data engineering knowledge. In my free time I enjoy watching as well as playing recreational sports. I also like to stay up to date on everything involving Notre Dame athletics as well as new consumer electronic devices and software.

Work Experience

Credit Risk Manager - Vervent Card (2018 - Present)

Started an internship at Vervent Card during grad school and continued as an analyst fulltime after grad school. Work with the entire life cycle of credit card portfolios from marketing, underwriting, acct management, collections & recovery. Projects span from forecasting direct mail campaigns, acct performance analysis, auth fraud detection & more.

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Latest Projects

Car Data Scraping & Analysis Python SQL ETL

Scraped car sales data on multiple makes, models, & years. Collected and cleaned the data into a database in an automated fasion. Analyzed data and hope to host summaries on my website soon.

NCAA March Madness Modeling Rstudio Regression

This project was to create the best possible March Madness bracket score. Multiple different decision tree regression methods such as Random Forest, Boosting, & Bagging were used. This is the data, code, paper, and poster for my senior capstone.

Auto App Submit Testing Python Selenium

A selenium app to submit in an automated fashion applications. This is the proof of concept version I brought to my job to start automating website & underwriting testing. I have extended it to multiple credit card websites to learn other application techniques and generalize the project.

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