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.