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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.\xa0

His research, academic and work interests include Machine Learning, Text Mining and Natural Language Processing.\xa0

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Quotes

\u201cIt wasn\u2019t until I was in the middle of my undergraduate career when I realized how much computer science and statistics went together.\u201d

\u201cFor me, security is most important. Although I\u2019ve worked at startups and really enjoyed them, I personally like the bigger company culture better.\u201d

\u201c99 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.\u201d

\u201cYou have to find your own projects on your own using data that\u2019s in your interest area. If you\u2019re interested in the problem being solved you\u2019ll be able to develop the intuition to solve the problem.\u201d

\u2014Ryan Rosario

Key Milestones

1. Many of our listeners are often wonder about pursuing graduate studies after college. Ryan did two master\u2019s and a PhD.\xa0 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\u2019s degrees in statistics and computer science.\xa0
4. What is a quantitative engineer?
5. Ryan explains how to develop data intuition.\xa0
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 \u2013 https://www.dataquest.io/blog/learn-r-for-data-science/

Check out Ryan\u2019s blog \u2013 http://www.bytemining.com/

You can find more resources in the show notes
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To listen to previous episodes go to https://develomentor.com/blog/

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