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Junfeng Yang is listed as Master in University of Michigan based in Ann Arbor, Michigan, United States. AeroLeads shows a matched LinkedIn profile for Junfeng Yang.
Junfeng Yang previously worked as Harvard University Mathematical Statistic Research at Harvard University and Evaluation of the Diagnostic Value of Different Endoscopic Access Techniques at Peking University Shenzhen Hospital, Shenzhen. Junfeng Yang holds Master Of Science - Ms, Data Science, 3.95/4 from University Of Michigan.
I’m actively searching for opportunities as a data scientist in the Data Science field currently. I am a diligent, optimistic, and kind-hearted person. As a master student majoring in Data Science at University of Michigan, I have good academic records and hands-on internship experience.Through my postgraduate study, I have familiarized myself with Java, Python, and R. My diverse project experiences endowed me with strong database management. As an individual researcher at Harvard University Mathematical Statistic Research, I studied the traffic data of 11 ASEAN countries, including urbanization rate, asphalt pavement occupancy rate, traffic regulations, used clustering, analytic hierarchy process, TOPSIS, RSR, and other methods to score the traffic situation of the country. Moreover, my project experience has helped me to fill the gap between knowledge and application.I am now taking courses related to database management, machine learning, statistical learning and computer science (especially algorithms and programming) field and willing to improve myself by doing research related to data analysis, and networking with more professionals. I can be reached either through this profile, by phone at +1 7345460534/ +86 15856992217 or by email at yjunfeng@umich.edu. Please check the additional qualifications below.
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Remote
1. Conducted the research for designing traffic policies by analyzing the traffic pattern data of 11 ASEAN countries and published a reach paper on Transport Policy.2. Applied a series of clustering techniques including hierarchy process, TOPSIS, RSR, etc. to score the traffic situation of each country and visualized results on urbanization rate, asphalt.
Shenzhen, Guangdong, China
1. Applied machine learning and data science techniques to evaluate the diagnostic result of different endoscopic access techniques in differentiating the benign and malignant of peripheral pulmonary nodules (PPL).2. Established Multivariate Logistic Regression and Cox Proportional Risk Regression models, compared and evaluated TBCTN, VBN and ENB.
Singapore
1. Build financial model of investment portfolio.2. Data cleaning for insurance data.
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Junfeng Yang is listed as Master in University of Michigan.
Junfeng Yang is based in Ann Arbor, Michigan, United States.
Junfeng Yang has worked for Harvard University, Peking University Shenzhen Hospital, Shenzhen, and Manulife Asset Management (Singapore) Pte. Ltd..
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Junfeng Yang holds Master Of Science - Ms, Data Science, 3.95/4 from University Of Michigan.
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