Jul 30, 2020
Dr. Ryan Rosario - How to Excel at Statistics and Computer Science? #78
Play • 36 min

Welcome to another episode of Develomentor. Today's guest is Dr. Ryan Rosario!

Dr. Ryan Rosario is currently a Data Scientist at Google, in the Search area, and Lecturer for the UCLA Department of Computer Science. Prior to Google, Ryan has worked at both Facebook and Amazon. Ryan has split his time between industry and academia. 

His research, academic and work interests include Machine Learning, Text Mining and Natural Language Processing. 

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“It wasn’t until I was in the middle of my undergraduate career when I realized how much computer science and statistics went together.”

“For me, security is most important. Although I’ve worked at startups and really enjoyed them, I personally like the bigger company culture better.”

“99 percent of the time as a data scientist is spent with data management. I actually enjoy this! It should actually be a passion for people to enjoy data management.”

“You have to find your own projects on your own using data that’s in your interest area. If you’re interested in the problem being solved you’ll be able to develop the intuition to solve the problem.”

—Ryan Rosario

Key Milestones

  1. Many of our listeners are often wonder about pursuing graduate studies after college. Ryan did two master’s and a PhD.  What inspired him to go so deep?
  2. Ryan has managed to keep one foot in both academia and industry. How has he been able to organize this kind of balance?
  3. Ryan got dual master’s degrees in statistics and computer science. 
  4. What is a quantitative engineer?
  5. Ryan explains how to develop data intuition. 
  6. Text and natural language processing
  7. What are some key skills that will help you be successful in data science?

Additional Resources

Guide to learning R for data science –

Check out Ryan’s blog –

You can find more resources in the show notes
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