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In the Field: Meet Bootcamp Grads Jannie Chang (Data Scientist, Heretik) & Joe Gambino (Designer + Data Scientist, IDEO)
By Metis • February 28, 2019
We love nothing more than spreading the news of our Data Science Bootcamp graduates' successes in the field. Below you'll find two great examples.
First, enjoy a video interview produced by Heretik, where graduate Jannie Chang now works as a Data Scientist. In it, she discusses her pre-data career as a Litigation Support Attorney, addressing why she chose to switch to data science (and how her time in the bootcamp played an integral part). She then talks about her role at Heretik and the overarching company goals, which revolve around creating and providing machine learning tools for the legal community.
Then, read an interview between deeplearning.ai and graduate Joe Gambino, Data Scientist at IDEO. The piece, part of the site's "Working AI" series, covers Joe's path to data science, his day-to-day responsibilities at IDEO, and a big project he's about to tackle: "I’m preparing to launch a two-month experiment...helping translate our goals into structured and testable questions, planning a timeline and what analyses we want to perform, and making sure we’re set up to collect the necessary data to turn those analyses into predictive algorithms.”
For much of his career, Leon Rosenstein’s primary working goal has been to stay one step ahead of those seeking to do digital harm. Read how his time in the bootcamp helped him expand and evolve his career trajectory, fuzing his interests in data science and online security.
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.