Brian Gawalt
Brian Gawalt is a highly skilled professional with expertise in statistics, machine learning, convex optimization, data mining, and text mining.
He has a Doctor of Philosophy (Ph.D.) in EECS from the University of California, Berkeley, and a B.S. in Electrical Engineering from the University of Virginia.
Brian has held various roles in prestigious organizations, including being a Sr. Software Engineer at Google, a Sr. Data Scientist at Upwork, a Data Scientist at Quantifind, and an Independent Contractor at SurveyMonkey.
His professional journey also includes experience as a Summer Intern at Lawrence Livermore National Laboratory, a Ph.D. Student and Graduate Student Researcher at the EE Department, UC Berkeley, an Intern at BAE Systems, and an Intern at the Naval Research Laboratory.
Brian particularly enjoys working with Spark as a distributed computing framework.
RT @pattymo: The sheer joy of getting hit with a “There he is! They let anybody in here!” from the fellas https://t.co/n5jSaQtYXt
For a few weeks I just wrote it off as some buggy client-app-specific behavior, some bad recent update. But as of t… https://t.co/bwh6WrwNhu