He is knowledgeable with the end-to-end web application development process; From Frontend (React, Angular 2+, jQuery) to Backend (NodeJS, Flask, Django) along with database applications (MongoDB, RBDMS) and cloud infrastructure applications (AWS and GCP). Adrian routinely uses Python’s powerful library (numpy, pandas, matplotlib) for manipulating, cleaning, filtering and displaying large data setsfor his personal research in quantitative finance. He also uses web scraping packages (Scrapy, BS4) to extract data from the internet.