Data Week | Diversity As a Data Science Imperative | May 19
About This Event
This session is part of GA's Data Week, a weeklong festival of free workshops, speaker sessions and panel discussions around leveraging data to drive business decisions, productivity and career growth. Check out the full schedule here!
Data science has drastically transformed in recent years, drawing attention to its ability to produce real impact across a number of industries. However, despite its many evolutions, the field has seriously lagged in successes in diversity - with the lowest variety in gender, race, and education diversity in technical fields (https://www.forbes.com/sites/priceonomics/2017/09/28/the-data-science-diversity-gap/#2c5ff90a5f58).
Thus, we're bringing together data science leaders to discuss the impact diversity can have on the field, ranging from AI ethics to the perception of the data scientist role.
About the Instructor
Bethany Poulin is a data scientist and educator with expertise in statistical analysis, data visualization and complex algorithmic problem solving. She has worked as a professional data scientist and educator for the last 4 years and loves sharing what she has learned with her students. Her unusual background in Fine Arts and experience teaching high school give her a unique perspective on both problem-solving and the learning-teaching process. Prior to teaching this part time course, she was lead instructor in our Data Science Immersive program on the Boston campus. She teaches simply because she loves students and enjoys being a part of their success. She holds a BFA in Advertising Photography from Rochester Institute of Technology, did post bachelor’s studies and the University of Montana in Environmental Biology, where she was recognized nationally as a Morris K Udall Scholar, holds an MS in Data Science from City University of New York. She is has presented at PyOhio 2018 and 2019 and ODSC East in 2019 ODSC West in 2020.
Sian Lewis is a data scientist who specializes in deep learning and predictive analytics. Named a Prince George’s County 2017 Forty Under 40 honoree for Public Service, Sian is a community builder who her data and decision science skills to help organizations make better decisions. At Booz Allen Hamilton, Sian specializes in machine learning for fraud and anomaly detection. She serves on the Women in Data Science Social Good Committee, is a board member of the Wanda Alston Foundation serving LGBTIQ youth, and co-chairs Women Who Code DC’s Data Science branch.
Dianna Abreu has a background in health systems, innovation, and design thinking. She is passionate about developing innovation strategies for government clients and works alongside them to manage their product portfolios and investments.
She enjoys using design thinking and data science to discover new solutions and perspectives on problems. Through her work with Women in Data Science, she is able to develop programming that supports the attrition of technical women at Booz Allen Hamilton and participates in a variety of data science for social good initiatives. Her involvement at General Assembly, has allowed her to share the joy of data with others and support students as they embark on their 'data-journey'!
During her free time, Dianna enjoys walking throughout DC, working out, and checking out new museums!
Jay Davis is a data engineer at GMMB, a political and cause-oriented advertising firm. Previously in his career, he was a member of the digital team for President Obama's re-election campaign in 2012, then served in the President's administration as a digital advisor and then as a data analyst at the US Environmental Protection Agency. He also led the analytics team at the Natural Resources Defense Council and guided the Sierra Club in building out its analytics work to support its on-the-ground organizing. Throughout his work he has focused on using data science to enhance the effectiveness of progressive organizing and communications, leveraging methods that range from natural language processing to modeling to statistical analysis to data visualization and dashboarding. As a gay transgender man, he is passionate about bringing an equity lens to his work and supporting other less represented and less visible groups in becoming data and technology leaders.
We understand that, sometimes, plans change. If you can no longer make it to a class or workshop, please email us at least 7 days before the scheduled event date. No refunds will be given to cancellations made within a week of the class or workshop.
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