Collaborated with eCommerce architects and engineers to develop both functional and performance/load tests for java-based B2C online storefronts. Used Python and Selenium WebDriver to develop functional test scenarios including product catalog navigation, search engine queries, adding products to cart, and cart checkout. Developed and administered performance/load test scenarios using JMeter to simulate critical increases in online storefront traffic. Worked with performance engineers to tune the mix of concurrent shopper scenarios in order to closely mirror realistic storefront patterns. Developed Python scripts to migrate online store catalog data from an Oracle database to the Oracle Commerce Cloud (OCC) platform using SQL and the OCC REST API.

Collaborated with postdoctoral researchers to develop extensive scripting and automation for web data collection, parsing, analysis, and visualization. Used Python, Selenium WebDriver, and REST API’s to automate the collection of research data from various web properties in multiple formats including plain text, CSV, JSON, XML, and PDF. Used regular expressions and Python’s BeautifulSoup module to extract relevant data points and developed algorithms to aggregate and analyze large data sets according to researcher requirements. Developed a custom web application to analyze and visualize social behavior patterns of Twitter users. The technology stack for the custom web application included Apache Web Server, Python, OAuth 1.0, Twitter REST API, HTML, CSS, JavaScript, and the Chart.js JavaScript library.