Growing Your Career

We are back! For our first event of the year, we will be having a panel of women speak to us about their career progression in many different fields of data. Please join us and think about some questions you want answered about how to grow your career!

Speakers:

Sarah Rich
Sarah Rich holds a MS in Computer Sciences from UW-Madison and an MA in Mathematics from UT-Austin and leads the Data Science Team at CarGurus. Prior to that she worked at a small startup called Canopy (now a part of CNN) and at Twitter - in both of these roles she focused on recommendations and personalization. She also took a few years in between to teach high school math and physics. Sarah cares deeply about building inclusive teams and ensuring that data science and ML efforts are always motivated by and grounded in business impact.

Myrtille Genot
Myrtille (she/her) is an MS Applied Economics grad that currently works as a Product Data Analyst at Rebel Girls. Her work focuses on analytics engineering (developing and maintaining a data pipeline) as well as using data analytics to empower product & feature decisions. Please reach her at [myrtillegenot@gmail.com](mailto:myrtillegenot@gmail.com)!

Carys Mills
Carys recently combined her coding and journalism backgrounds by becoming an interactive editor at Canada’s national newspaper, The Globe and Mail. She studied journalism at Ryerson University and worked as a reporter for years before attending a front-end coding bootcamp. Since that, she worked as a developer for several years, most recently at Shopify, where she created the company’s data vizualization library.

Camillia Smith Barnes
Camillia Smith Barnes discovered her love of math as a young child and grew up wanting to be a mathematician. After finishing all but a couple of her undergraduate math courses at Michigan State University while still in high school, she transitioned to full-time there on a scholarship, completing triple honors bachelor’s degrees with highest distinction in mathematics, English, and French, at the same time as a master’s in math. She went on to earn another master’s in math at Cambridge University on a Churchill Scholarship, and then an AM and PhD, also in math, from Harvard on an National Science Foundation Fellowship. Next she started as a tenure-track math professor at Sweet Briar College, a small, private liberal arts college in Virginia. When Sweet Briar suddenly almost closed a few years later and laid off its entire workforce, however, she began to reevaluate her career path. Although she took another tenure-track professorship, this time at a public liberal arts college, the University of Science and Arts of Oklahoma, she had already started to plan her entrance into the tech industry, ideally as a software engineer, as she had recently rediscovered how much she loved to code. Eventually she came to Google’s attention via successfully completing the Google Foobar Challenge, and was both shocked and overjoyed to be able to make her debut in the tech world as a SWE working on Google Chrome’s Privacy Sandbox.

Sushmita V Gopalan
Sushmita V Gopalan is a data scientist at Mission Lane, a fintech company. With a background in Economics and Computational Social Science, she has previously worked as a data scientist in research and logistics. She is currently excited to learn more about fair, accountable, and transparent machine learning in finance.