18: Build a Portfolio of Projects and Experiences to transition into Data Science (Jonathan Ortiz, Data Scientist and Knowledge Engineer, Data.World)

Empjoyment: Real-life stories from diverse career changers into non-technical jobs in digital tech companies. Join Nemo Ashong in empowering diversity in tech by helping career changers transition into non-technical roles in tech companies.

Data Science is a rapidly growing field within technology. But how do you make the transition into getting your first role? How do you navigate the terms, jargon, technical references and more when you’ve never worked in the role before.

Jonathan Ortiz, our featured Empjoyee sheds a light on all of this for us today. Jonathan made the move from media to data science and spends this episode not only sharing his journey, but diving deeply into several elements of the world of Data Science.

You’ll get his take on the programs and tools you should get familiar with, the places you should put your attention to when entering the field, and how to deal with the mental roadblocks so you can reach your next goal (and the ones beyond it).

Plus, we get an inside look into the Semantic Web, an area that that has quickly become a specialty of this newly made data scientist. Get ready to make some moves today!

Enjoy!

Listen now to learn how Jonathan:

• Leverages past experiences and skill sets developed in media and marketing to create value on the job as an data scientist within months
• Creates a unique internship through a fellowship that provided money to the company to cover internship costs
• Navigates switching location, job, and relationship status all at once to now live a life that was proactively created

Your Joyney: Take some time to find and research a grant/fellowship/internship that could provide you or others with similar opportunities within the Empjoyment Community. (use hashtag #joyney18)

Getting to Know Today’s Featured Empjoyee: Jonathan Ortiz!

Jonathan Ortiz is a data scientist and knowledge engineer at data.world, an Austin startup that’s building the most meaningful, collaborative, and abundant data resource in the world to help people solve problems faster by creating new ways to discover, prep, and collaborate on data projects.

He is a former student at the University of Texas – Austin Data Analytics and Big Data Program. Prior to his work in data science, Jonathan accumulated extensive experience in media, marketing, and consulting.

Most recently, Jonathan served as Director at Scratch, a division of Viacom that drives innovation by channeling the power of brands like MTV, BET, Comedy Central, and Nickelodeon.

Jonathan received a Bachelor of Science in Economics with concentrations in Marketing and Management from the Wharton School at the University of Pennsylvania.

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