Becoming a Data Scientist Podcast feat. Debbie Berebichez (Metis Chief Data Scientist)
By Emily Wilson • July 27, 2016
Episode 13 of the Becoming a Data Scientist podcast features Metis Chief Data Scientist Debbie Berebichez, who tells the story of her childhood in Mexico City. While she was naturally interested in math and physics from a young age, she was discouraged from pursuing them, instead nudged toward topics considered more "feminine" to the people and culture surrounding her.
She overcame personal odds and moved to the U.S. on a full scholarship to Brandeis University, eventually becoming the first Mexican woman to graduate with a Ph.D. in Physics from Stanford University. She's now a Physicist, TV Host, girls-in-STEM advocate, and our Chief Data Scientist. Hear her full story here:
As a physicist, TV host, and our Chief Data Scientist, Debbie Berebichez is always up to something interesting. Lately, she's been focused on the relationship between Critical Thinking and Data Science and discussed it on both the DataFramed podcast and the Story By Data YouTube channel. Check out both here.
In this post, SwitchUp interviews Brendan Herger, a Metis Sr. Data Scientist based in San Francisco. Find out what he loves about teaching, about his passion for machine learning, and how he helped found Capital One's Center for Machine Learning.
Going through a data science bootcamp is an intense experience for everyone involved. Students work at a breakneck pace unparalleled in other learning environments, absorbing new and difficult concepts and skills, and applying them to projects starting as early as week one. All the while, instructors shoulder the hopes and fears of their cohorts as they guide and teach them over the course of 12 weeks. For interested individuals, teaching a bootcamp can have tangible career benefits related to industry goals and aspirations. Read how here.