Stay ConnectedEvery two weeks, we air an interview with a data scientist or someone on their way to becoming a data scientist, to learn about their path to get to where they are today. We also discuss a data science learning activity for the Becoming a Data Scientist Learning Club.
Topic tags: data science, data analysis, databases, careers, education, learning, technology, python, R, computer programming, statistics, business, machine learning
Copyright: © 2015 Becoming A Data Scientist
In the first episode of this podcast recorded in front of a live audience, Renee interviews Andrew Therriault – formerly the Director of Data Science for the Democratic National Committee & Chief Data Officer for the City of Boston, and currently Data Science Manager at Facebook – about how he learned data science, what advice he has for people who want to learn data science and apply for data science jobs, and about his career path as a Data Scientist and leader in the field. Recorded at Tom Tom Fest Applied Machine Learning Conference in Charlottesville, VA on April 11, 2019.
Renee interviews Randal S. Olson, Senior Data Scientist in the Institute for Biomedial Informatics at UPenn about his path to becoming a data scientist, his interesting data science blog posts, and his work with non-data-scientists and students.
David Meza is Chief Knowledge Architect at NASA, and talks to Renee in this episode about his educational background, his early work at NASA, and examples of his work with multidisciplinary teams. He also describes a project involving a graph database that improved search capabilities so NASA engineers could more easily find “lessons learned”.
In this first episode of “Season 2” of Becoming a Data Scientist podcast, we meet Jasmine Dumas, a new data scientist who tells us about going from biomedical engineering into a data science project experience and then finding her first job as a data scientist.
Renee interviews Dr. Ed Felten, the Deputy U.S. Chief Technology Officer, about the Future of Artificial Intelligence
I was invited to join in with 7 other data people to talk about the US election and the subsequent major questions surrounding the forecasts, since basically all of them heavily leaned toward a different overall outcome. You will recognize many of the people in this chat from other podcasts and publications online, and I’ll link to all of their profiles in the show notes for this episode.
Enjoy!
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In this interview, we meet physicist Debbie Berebichez, who you might recognize from her TEDx talks, her appearances in Discovery Channel’s Outrageous Acts of Science and other TV shows! Debbie grew up in Mexico City and was discouraged by her family and teachers from studying science, but later went on to become the first Mexican woman to get a PhD in physics from Stanford, and is now Chief Data Scientist at Metis Data Science Bootcamp in New York.
Verena, David, Kerry, and Anthony are members of the Becoming a Data Scientist Podcast Data Science Learning Club! They appear in the order in which they joined the club, and each discuss their starting points before joining, their participation in the activities, and advice they have for new data science learners.
Stephanie Rivera has worked in machine learning and data science for academic research (at University of Tennessee), for the government (Department of Defense), for a large consulting firm (Booz Allen), and now for a startup (MyStrength). In the interview, she discusses her career path, her experiences with mentorship, and her role in authoring The Field Guide to Data Science and the Explore Data Science online course.
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