Quinn Fargen
Data enthusiast with 6+ years of experience in developing data solutions supporting analysis, reporting and predictive modeling. Proven ability to design and maintain a data warehouse that enables scalable analysis. Master’s degree in Data Science and developed 5+ predictive models through to production. Passionate about efficiencies in database & query design and exploring new techniques/products.
Work Experience
Data Modeling Manager
Started an internship at Vervent Card during grad school and continued as an analyst fulltime after completing school. Managed a 30TB SQL Server data warehouse for the rapidly expanding data science division, which more than tripled in size during tenure. Acted as primary subject matter expert for data used by the data science division.
- Migrated analytic processes, reporting and models onto a dedicated server to reduce resource impact on production, without gaps in operational availability.
- Implemented PowerBI reporting framework and associated data structures while migrating hundreds of legacy SSRS reports.
- Deployed predictive models into production and built structures to track performance
Credit Risk Intern/Analyst/Senior
Production Operator
Yard Landscaper
Education & certificates
Master of Science Data Science
South Dakata State University
Bachelor of Science Mathematics
South Dakata State University
Minors: Accounting & Stats
Azure Data Fundamentals DP-900
Microsoft - 5CEB70688A0588BB
Projects
Car Data Scraping & Analysis
Scraped car sales data on multiple makes, models, & years from Edmunds. Collected with python and cleaned the data into SQL Server. Built infastructure to store periodic data scrapes to update and log new cars by VIN.
NCAA March Madness Modeling
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. Final RF model placed in the 95th percentile of 3 million ESPN brackets.
Auto App Submit Testing
A selenium app to submit an application in an automated method. This is the proof of concept version I built personally and brought to my job to start automating website & underwriting testing. Completes a web app with stored values and stores outcome data, screenshots, and pdf.