- Quantified pricing errors in a table of several million rows by designing and implementing a Python program to compare previous versions and reverse-engineer erroneous row aggregations- Used PostgreSQL and PostGIS to identify clusters of supermarkets within a given radius by performing spatial joins, reducing computation time from over a day to less than an hour- Built a web scraper in Python to automate the collection and munging of consumer survey data- Developed a Python program to parse hundreds of powerpoint slides and gather data for a regression analysis- Implemented an economic model by solving a large nonlinear system of equations in NumPy using a derivative-free spectral method for added efficiency on large-scale systems