Recent bootcamp graduate Gavin King grew up in Arizona, got a Ph.D. in Mathematics from the University of Wyoming, and now lives and works in Seattle, where they’ve found a home in the bustling data science community as a Data Scientist at Zulily, a growing e-commerce company. Read about their journey to the job and how Metis career support helped along the way.
Always passionate about the sciences, Susan Fung earned her Ph.D. in Neurobiology from the University of Washington before even thinking about the existence of data science bootcamps . In a recent (and excellent) blog post , she wrote: "My day to day involved designing experiments and making sure I had ...
Take a look around and you might notice some waste. It could come in the form of something physical that you can see or feel or smell. Or it might be invisible to the eye, like wasted time or resources due to lapses in efficiency. Two recent Metis graduates took an interest in these different forms of waste and used data science to come up with ways to minimize negative impact and maximize positive solutions.
To transition from academia to industry, many choose bootcamps as a way to bridge the gap between the theory-heavy rigor of academia and the practicality of industry experience. In this post, hear from three such students who made the transition via bootcamp and who are now working in the field.
In this month's edition of the Made at Metis blog series, we're highlighting two recent student projects that have to do with traveling to new cities. In the first example, a student explored new and improved ways to find places of interest while planning trips. In the second, a student set out to understand how and why musicians sought and found connections via Craigslist.
In this month's edition of the Made at Metis blog series, we're highlighting two recent student projects that focus on the intersection between transportation and data science. One project is a video-based car detector to improve safety for city cyclists, and the other presents a way to better forecast hourly Uber demand across New York City neighborhoods.
In this month's edition of the Made at Metis blog series, we're highlighting two recent student projects that focus on the act of (non-physical) fighting. One aims to use data science to fight the problematic political practice of gerrymandering and another works to fight the biased algorithms that attempt to predict crime.
Food and beer. One you need and the other you don't – but if you're anything like me, you sure enjoy them both quite a bit. In this month's edition of the Made at Metis blog series, we're highlighting two recent student projects that look to improve the status quo surrounding food and beer recommendation engines.