Led development of web scraper system using Selenium as well as BeautifulSoup in Python3 to harvest offender information from publicly available criminal justice databases in order to create a national repository for facilitating research on criminology and labor market. Currently working on leveraging machine learning libraries scikit-learn to classify 85,000+ unique offense descriptions into federal standards as part of data processing and harmonization.