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Becoming a Data Scientist thru non-traditional paths

August 12, 2020 @ 6:00 pm - 7:00 pm CDT

Join us for a panel discussion on becoming a Data Scientist through non-traditional paths. Please come prepared with questions!

Host: Maleeha Qazi – Data Scientist, American Family Insurance

Mary Willcox
Coming from a non-traditional background, Mary worked in the financial industry for ten years prior to continuing her education at Northwestern University with a Master’s degree in Data Science specializing in Analytics and Modeling. As a Data Scientist, Mary has worked in the Education Technology and Retail industries and now as a consultant at Baker Tilly Mary is gaining experience in a wide variety of industries and projects. Mary values effective solutions that can make a real difference in the way business is run. With a passion for learning, Mary works to stay at the forefront of data science, always learning more about implementing AI techniques and building an organization from hindsight to foresight through data.

Devin Conathan
Devin joined the machine learning research team at American Family Insurance as an intern in the summer of 2016 and came on full-time the following year. He has undergraduate degrees in mathematics and philosophy from Cornell University and a masters in electrical engineering with a focus on optimization and active learning research from the University of Wisconsin-Madison. Before grad school he spent 8 years working various odd jobs including bartender, barista and customer service representative. Currently, he is developing a research knowledge management platform based on knowledge graphs and state-of-the-art natural language processing techniques. In his spare time, he enjoys bike riding, playing music, and spending quality time with his wife and cat watching birds and/or Seinfeld.

Sign up here: https://www.meetup.com/Women-in-Big-Data-Wisconsin-Chapter/events/271614440/



August 12, 2020
6:00 pm - 7:00 pm CDT