Data Analysis
Querying and scraping data and organizing it into databases and csv's in order to get snapshot of the process,
plus the use of libraries(Numpy, Cpython...) in order to optimize the program's performance, in addition to unit tests and ML/AI in order to make scientists and marketers less frustrating and more productive.