Alexander Gilgur is a Data Scientist and Systems Analyst with over 20 years of experience in a wide variety of domains - Control Systems, Chemical Industry, Aviation, Semiconductor manufacturing, Information Technologies, and Networking - and a solid track record of implementing his innovations in production. He has authored and co-authored a number of know-hows, publications, and patents. Presently, he is a Network Analyst at Google / Alphabet and a Lecturer / Instructor at UC Berkeley’s School of Information (I School), teaching Machine Learning in the MIDS program. He is also a father, a husband, a skier, a soccer player, a sport psychologist, a licensed soccer coach, and licensed professional engineer (PE), and a music aficionado. Alex’s technical blog is at http://alexonsimanddata.blogspot.com.