Monique van den Boogaart
Role: Seller Data Lead
Talk about your background leading up to Fast.
In high school, I really enjoyed economics and studied that for my undergraduate and graduate degree. When writing my master thesis, I started working with data and realized how data allows you to answer so many interesting questions. That’s when I wanted to start working as a data scientist. In 2015 I joined Uber, which was the perfect company for me as it combined my love for economics and data. In 2016, I transferred from Amsterdam to the San Francisco office and worked there for another four years on improving pricing and the earnings information and opportunities we provide to drivers.
How did you learn about Fast, and why did you join the team?
I’d been following Allison’s (Barr Allen, Co-Founder and COO at Fast) journey after she joined Fast and knew how quickly the company was growing. When Fast started hiring data scientists, Allison reached out to me. Joining was an easy decision: I believe in the product, am impressed by the people, and feel like I have an impact on the company’s product strategy.
Where did you grow up, and what were you like as a child?
I grew up in a small town in the Netherlands where my parents had a dairy farm. As a child, I spent a lot of time outdoors playing with my brothers and the animals at the farm (we had everything from goats, to chicken, to cats), but I also really enjoyed reading and writing stories.
What was your first job ever?
I started strawberry picking at a nearby farm when I was 12 during summer breaks. It sounds like hard work, but it was mostly chatting with friends outside while doing a little bit of work. It was a valuable experience because it taught me early on that you have to work to earn money and that also on days when you’re not feeling it, you have to show up.
What career path did you almost take?
One of my dreams was to improve European agricultural policy. After completing my master’s degree, I worked at the Dutch Ministry of Economic Affairs on agricultural policy, but I realized quickly that I enjoyed working with large datasets in a fast-paced environment more. However, I may go back someday.
Which public figure do you admire most and why?
So many people, but if I have to pick, I would say Courtney Dauwalter and Linda de Mol. Courtney Dauwalter is pushing the boundaries of what’s possible in ultrarunning (for men and women!). Linda de Mol is a Dutch actress and presenter who has created her own shows and movies and has a great magazine that I read every month.
What app on your phone do you use the most?
Spotify and the Podcast app during runs, walks, and long drives.
What food do you uncontrollably eat?
Yogurt/kefir! I have it for breakfast, after a big run, or as dessert. It’s the best recovery food.
What was the last show you binged?
“The Marvelous Mrs. Maisel.” It’s hilarious.
What personal goal would you like to achieve in the next five years?
Some dreams I have are building a data science team, moving to the mountains, and winning one of the major ultrarunning races. However, things can change, so most importantly I want to keep an open mind, always keep learning, and enjoy what I’m doing.