MiddVantage: Exploring Careers in Data Analytics
Watch Episode 7: Data Science Research Supporting Technical Infrastructure with Trisha Singh ‘18, Research Data Scientist, Meta (26 min)
Interviewer: Lila Kosowsky ‘24
Check out the latest episode on YouTube: https://www.youtube.com/watch?v=CYWBtuvhWbE
Trisha Singh ‘18 is a Research Data Scientist at Meta, where she uses applied math and machine learning techniques to support Meta’s infrastructure. Prior to Meta, she worked at Analysis Group in Health and Economics Outcomes Research. She holds an MS in Statistics from Stanford University and a BA in Math and Economics from Middlebury College.
About the Data Analytics series: Data analytics is broken down into four basic types. Descriptive analytics describes what has happened over a given period. Diagnostic analytics focuses more on why something happened and predictive analytics moves to what is likely going to happen in the near term. Finally, prescriptive analytics suggests a course of action. Market watchers project the number of jobs for data professionals in the U.S will increase to over 3 million by 2022. This series includes interviews with many professionals who will share their vantage points on how they use data analytics in their career roles, their paths from campus to career, and career advice they would have for students interested in this career space.
Exploring Careers in Data Analytics is a collaborative series developed by the Center for Careers and Internships and Middlebury in DC with content contributions from members of the Middlebury Professional Network and Middlebury students.