Riley Dallas, Adi Bronshtein & Tim Book

Teaches at Classeteria

Riley Dallas
Riley is a software engineer in Austin, TX. He graduated with a degree in Marketing from Texas A&M University, which led to a job as a roofer. He quickly realized he needed a marketable skill and started selling websites to small businesses while simultaneously learning how to code. In 2008, he learned Ruby on Rails in order to turn his idea for a web app into a reality. ChubbyGrub was the result, and has been featured on LifeHacker, The Consumerist, and CNBC.com. Recently he made the transition to Data Science, finishing in the top 13% of the 2017 March Madness Kaggle Competition.

In recognition of his exemplary service in the classroom, Riley has been selected as a member of General Assembly's Distinguished Faculty program.

Adi Bronshtein
Adi is a Data Scientist and a Local Data Science Instructor at General Assembly’s Washington, DC campus. In addition, he teaches Part-Time Data Science courses remotely. He previously worked as a Data Scientist at Open Data Nation, where he built Machine Learning models to predict the probability of motor vehicle crashes as well as an Instructor Associate for the part-time Data Science Fundamentals course at GA.

It was through working as a translator of movies and shows, and translating a documentary on big data, that Adi became interested in data science and its power in making the world a better place. That experience led Adi to attending a Data Science course at General Assembly, the 12-week full-time program focused on real-world applications of data science principles and best practices. He holds a a Master’s Degree in Clinical Psychology and a Bachelor’s Degree in Behavioral Sciences. When he’s not teaching he enjoys reading, traveling, working out and is always trying to find the perfect donut!

Tim Book
Tim is a lead data science instructor for GA’s enterprise clients in Washington, DC. He recently escaped the world of consulting, where he worked in litigation analytics helping lawyers win cases with data. Prior to his work in industry, he earned his Master’s degree in statistics. His graduate research focused on statistical programming and machine learning, something he’s still passionate about today. His motivation for teaching is to make the things he finds interesting just as interesting and accessible to everyone else.

When not thinking about programming or math, Tim spends his free time reading sci-fi/fantasy and theorizing on how to construct the perfect omelette. He plays a mean game of pool, too.

In recognition of his exemplary service in the classroom, Tim has been selected as a member of General Assembly's Distinguished Faculty program.