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Jasmine Dumas is a Senior Data Scientist at Fastly where she is focused on infrastructure capacity planning. She earned a B.S.E. in Biomedical Engineering from the University of Hartford, a Graduate Certificate in Predictive Analytics from DePaul University and a Professional Certificate in Medical Product Development from University of California, Irvine Extension. She has experienece building products in various industries including Aerospace, Medical Devices and Financial Technology. She is an active member of the R programming community and has developed & contributed to open source packages: shinyGEO, ttbbeer, shinyLP, & gramr and participated in Google Summer of Code, NASA Datanauts, R-Ladies, and Forwards. She is currently developing a course on shiny with DataCamp and co-organizing the regional Noreast'R Conference.

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