Contractor
• Developed web scrapers and spiders using Selenium to perform automated data extraction, work with authentication, bypass filters, investigate IP geopricing, and mine unexplored public sources of data• Extracted Walmart, DoD Approved 8570, Consumer Reports, Google Scholar, Dell, Lenovo, HP, Raspbery Pi Foundation, S&P 500, Realtor, and Zillow data for groceries, products, appliances, equipment, specifications, standards, research papers, economic habits, and properties analysis•… Show more • Developed web scrapers and spiders using Selenium to perform automated data extraction, work with authentication, bypass filters, investigate IP geopricing, and mine unexplored public sources of data• Extracted Walmart, DoD Approved 8570, Consumer Reports, Google Scholar, Dell, Lenovo, HP, Raspbery Pi Foundation, S&P 500, Realtor, and Zillow data for groceries, products, appliances, equipment, specifications, standards, research papers, economic habits, and properties analysis• Performed full stack development to create a web application (A) for restaurants and volunteer organizations to scrape data fresh data from Walmart and competitors, such as Kroger and Target, build a list from eligible products, blacklist products, determine the average and median prices of products in different categories• Performed full stack development to create a web application (B) for students, instructors, advisors, and other Cyber Security professionals, allowing for analysis of the DoD Approved 8570, baseline certifications in Cyber Security, which includes the prices, versions, and the average number of positions eligible with a certification, along with the value of a certification by dividing the cost of the cert by its total cost of time and money• Performed full stack development to create a web application (C) for nieghbors, mentors, students, and other friends and family to analyze Consumer Reports data on appliances, optionally removes survey bias columns, allows for different selections of filters, to be applied to the data in python from within the DataFrame, to then sort, or aggregate the value of each make and model of appliance type based on user requirements (noise, number of RPMs, and cost) Show less