With a passion for research and the healthcare industry, bootcamp graduate Michael Jordan increasingly knew the importance of mastering the tools and concepts of leveraging large data sets. Learn how the Metis Data Science Bootcamp, helped him continue his career path.
Bootcamp graduate Andrea Hylant cares deeply about the environment, as her education and career demonstrate. Read her story to find out how embracing data science helped solidify her longer-term career goals.
In a roundabout way, in part via experimental New York theater, bootcamp graduate Thomas Kavanagh made his way to data science. In this post, read his story and find out what he's up to now as a Data Scientist at Alkymi.
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.
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 is Vickie Chan’s second time working at Fitch Ratings, one of the largest credit rating agencies in the United States. The first time exposed her to data science; now, she is a Data Scientist. Read how the bootcamp helped her make the transition.
If you’re not hungry already, you’ll probably be ready to eat by the end of this post. Bootcamp graduate Amy Su works as the Sr. Analyst of Product Operations at HelloFresh, a meal kit delivery service known for all-natural, easy-to-prepare recipes. In addition to catching up with her to discuss her role at the data-driven company, we also talked about the joys of working with food-related data all day.
Vaughn Parker remains our youngest-ever bootcamp graduate. Read about his bootcamp experience, what he's up to now, and how he aims to use his career to advance the capabilities of Natural Language Processing (NLP).
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.