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As the beating heart of industries like finance and health care, as as one of the nation's strongest tech scenes, New York City is one of the best places to start a career in data science. Metis was the first data science bootcamp in NYC, and we remain the only accredited data science bootcamp in the country. The NYC campus is also one of our most diverse, accepting GI Benefits and international applicants. At Metis, we know from experience that every data science job market is different - that's why we ensure our local NYC team has deep roots in the data science industry. We also believe career coaching is a must when it comes to data science, and we’re proud to provide a careers curriculum dedicated to helping our students excel and prosper in the data science industry.
Vinny, a Metis data science instructor, views data as a facet of perception.
Vinny comes to Metis after leading a team of Data Scientists at High 5 Games. Prior to that he taught Machine Learning at General Assembly and built tools for Animators and Effects Artists at Blue Sky Studios (the company that made Ice Age, Rio and The Peanuts Movie). He has a Masters in Computational Engineering and another in Creative Writing. He enjoys the nexus of mathematics, computer programming, human perception and arts. Over the past three years, Vinny has been knee-deep in large distributed data -- aggregating, building recommendation systems, measuring popularity and predicting Lifetime Value. In that time, he also finished a first draft of his novel. An avid programmer, Vinny has won various programming contests including the Regional ACM Collegiate Programming Contest. He has taught at the University of Miami and has given talks and presentations at various colleges and conferences.
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Joe loves tackling unusual problems with the tools of data science and has a passion for effectively communicating quantitative ideas.
As both a math enthusiast and a former competitive debater, Joe was drawn to data science by its place at the intersection of statistics, computing, and communication. He has worked on projects ranging from quantifying and comparing story plots to building a Bayesian model of human rights abuse rates that accounts for informational bias. Before transitioning into data science, he worked in various data analytics roles, most recently as an Equity Research associate on Credit Suisse's portfolio strategy team. He holds a B.A. in Mathematics from Columbia University, and is also a Metis alumnus. He currently coaches NYU's parliamentary debate team, and in his free time he enjoys playing piano, reading, and playing board games.
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Kimberly uses her background in applied math to discover data's what, why, and how.
Kimberly joins Metis from MRM//McCann, a leading digital advertising agency, where she focused on helping clients understand their customers by leveraging unstructured data with modern NLP techniques. She is passionate about data storytelling and the power of compelling data visualizations to challenge pre-conceived assumptions. Kimberly's enthusiasm for teaching comes from her days as an academic. She holds a Ph.D. in applied mathematics from Rensselaer Polytechnic Institute and completed a postdoctoral fellowship in math biology at the Ohio State University. In her spare time, Kimberly likes to stay active and particularly enjoys swing dancing, rollerblading, and jogging with her dog.
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Jesel enjoys using every possible resource to help others recognize their talents and improve their outcome for success.
Prior to joining Metis, Jesel previously worked in non profit and healthcare settings cultivating relationships and increasing engagement to shape culture and drive business goals. Jesel has a Master's degree in Industrial & Organizational Psychology and her days off will usually include looking for a sunny spot to relax and meditate.