The Beauty of Data

Carrie Fowle, Data Scientist

About Me

I'm a Data Scientist in Love with Fashion and Beauty

I remember the comments from family friends when I got into MIT: "Are you sure you don't want to go to a liberal arts school? MIT is a really technical place." I was the theatre kid, the poet, the one who drew fantastical dresses in the margins of her notebooks and volunteered at the local costume shop, but I had fallen in love with the irreverence of MIT's nerdy populace and knew I wanted to work in a technical field (even if I wasn't sure which one yet). Even though I might had doodled my way through math class, I knew I was good at it and that that was something uncommon.

While at MIT, I explored various fields with varying levels of honesty to my artistic roots: computer science, economics, and finally my second love, data science. I loved the way data science could be use to tell stories out of the opaque world numbers, giving breath to something that would otherwise be lifeless.

Part of what I love so much about data science is that it is more a toolkit than a field in and of itself. Just as needle, thread, and cloth can become a gown or a suit, a handful of the same machine learning methods can tell you about art or finance. With discovering data science, I discovered a way to use my natural penchant for numbers and analysis to push the fields I loved forward.

Living MIT's Motto: Mens et Manus 

Having spent my entire adult life surrounded by the ethos of MIT, my training in data science reflects its motto: mind and hand. To me, understanding the underlying theory of data science is key to its effective and ethical practice, just as the practice of data science gives meaning and purpose to its underlying theory. I can both tell you how a neural network works on an algorithmic level and implement one to give you insight into this season's runway trends.

I have been fortunate to be able to stay at the forefront of both the theory and practice of data science, contributing to original machine learning research under Professor Georgia Perakis and working on large scale projects at companies including Estee Lauder, Wayfair, Hopper, US Sailing, and The Brattle Group.

If you'd like to know more about my credentials, please download my resume below. If you'd like to see how I'm using data science out in field, check out my latest work.

download resume