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Course Report Interviews Metis Graduate, BuzzFeed Data Scientist Jamie Fradkin
By Emily Wilson • November 30, 2017
Course Report, a most excellent resource for all things data science bootcamp, recently interviewed Metis graduate Jamie Fradkin about the evolution of her current role as a Data Scientist at BuzzFeed, where she's now worked for more than a year-and-a-half. Fradkin, a former biomedical engineer, attended our Data Science Bootcamp in New York City after a decision to switch careers because of her desire to make use of her math and statistics skills.
In this interview, Course Report asks Fradkin about a number of topics we think you'll find interesting:
- Her educational and professional background
- Why she chose to attend a bootcamp (and why Metis?)
- The Metis application process
- The bootcamp experience overall - what's it like to be a student on a daily basis?
- The post-Metis job application process - how much help does Metis Career Services provide?
- The interview and hiring processes at BuzzFeed
- The day-to-day breakdown of her current role
- What technologies she's using most on the job
- Advice for anyone applying to a bootcamp and/or looking to switch careers to data science
You'll find all that and more in this interview, which we encourage you to read in full. And if you're interested in attending our bootcamp in New York City, San Francisco, Seattle, or Chicago, please note our upcoming deadlines for Winter sessions are approaching fast – be sure to apply soon!
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This post features two projects from recent graduates of our data science bootcamp. Take a look at what's possible to create in just 12 weeks, including a project to leverage a user’s existing street art preferences to recommend visually-similar fine art and a project to develop a collaborative filtering recommendation system using sales transaction data.
Years before attending the bootcamp and switching to a career in data science, Metis graduate Sami Ahmed was focused on music. He studied film scoring and music business in college and worked as a musician, mostly composing for commercial media. Read how (and why) he made the transition to data science.