Shaq Katikala's technical work includes unearthing statistical anomalies in Bitcoin leading to the discovery of several hacker communication networks, making practical web applications, and building a desktop app that scans web and mobile app traffic to find privacy issues. He studied data science through classes at Stanford is founder of District Hack Night, a small group of data scientists and programmers who meet regularly to work on coding projects. He now works regularly with technologists and data scientists at multi-billion dollar online advertising companies to help design products in a privacy-friendly way. His undergrad is in Economics and Philosophy, where he wrote a thesis on the theory of predicting the demand for creative products. He also happens to be a practicing lawyer, with a JD from New York Law School and numerous certifications in data privacy, which provides a practical business understanding to back up his math and programming acumen.
In this part-time course, students learn to build robust predictive models, test their validity, and clearly communicate resulting insights.