“Being a data scientist in a cloud world means having to fundamentally change the way you work. A lot of us started out working on laptops or servers, but when you move to the cloud, all bets are off,” says Nhung Ho, Intuit Director of Data Science. “All the limiters are off. How do you fully take advantage of that? How do you change your workflow? What are some of the things that are available to you that you may not know about?”
– Nhung Ho, Intuit Director of Data Science
Drawing from first-hand experience, Nhung shared a few lessons learned from Intuit’s cloud journey last month at Stanford WiDS (Women in Data Science) 2020 in a Technical Vision Talk, Data Science in a Cloud World: What Every Data Scientist Needs to Know.
To learn why cloud migration is a journey worth taking – and what advice Nhung has for fellow data scientists – see her full talk here.
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Nhung Ho is Director of Data Science for the QuickBooks Ecosystem and Customer Success data science teams at Intuit. She leads applied machine learning teams that build new-to-the-world products and services backed by artificial intelligence. and machine learning to serve the company’s small business and self-employed customers. Nhung has a Ph.D. in Astrophysics from Yale University and a B.A. in Astrophysics from University of California, Berkeley.