He got his PhD degree in Physics from City University of New York in 2013, and recently completed his post doctoral projects funded by CDMRP (Congressionally Directed Medical Research Programs, Department of Defense) and US Department of Energy, where he gained a lot of data scientist experience. He developed an artificial blood protein by exploring a large amount of nature protein data and applying several the machine learning algorithm. He is an analytical and critical thinker with research experience in using large, complex datasets from data collection, feature extraction and selection to model development, interpretation and visualization by using advanced data analytic skills and machine learning algorithms. He is now focusing on improving his hands on data science skills and gaining more experience in translating real world problem into data, designing and developing solutions. He is now looking for a data scientist position.
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