What is your role at Anaconda?
I’m a platform engineer.
How did you get interested in data science?
I first got interested in data science (specifically, machine/deep learning) back in college through professors like Andrew Ng and Dan Jurafsky. We also had a wonderful computational journalism program that incorporated many ideas from data science into its curriculum.
What is a typical workday like for you?
I walk in, get a Pop-Tart sleeve, eat one, give the other to my coworker Chris Blanton, get coffee, and have morning stand-up at 9:45 am. That’s about where the daily consistency stops. Sometimes I will have meetings or calls with my remote coworkers to discuss an issue or set of issues, other times I am diving headfirst into the code (or otherwise waiting for something to load, whether that be my dev environment or Jenkins CI).
What do you like best about working at Anaconda?
I love working with my teammates. The engineers all have their own personalities, and it makes everything really fun. I’m happiest in places where each person is a little bit different from the next.
Describe the Anaconda culture in ten words or less.
Supportive, helpful, sincere – a nice mixture of memes and earnestness.