Doers 007 – Salem Marrero on Self-Educating in Data Science, Japanese Cinema, and Baseball

Can you become a professional data scientist without a college degree? Can you get a better education in data science on your own than at one of the world’s top universities? Can this education actually be applied to the workplace?

Salem Marrero argues yes to all three points in this week’s Doers podcast.

Ever since he was a young child, Salem Marrero knew that he loved statistics. He knew that he wanted to do something with numbers and making sense of them and the world around him and set out on a path to understand stats. Applying his statistical knowledge to baseball brought him a whole new level of understanding of the game.

Salem left Carnegie Mellon University in early 2017 to join a high-growth tech company in Pittsburgh, PA as a data scientist in a full time capacity. I join Salem at Carnegie Mellon in the Fall of 2016 after a class he teaches on classic Japanese cinema.

All episodes of Doers are produced by Lacey Peace.

Doers 007 – Salem Marrero on Self-Educating in Data Science, Japanese Cinema, and Baseball