Wenchang Zhang Education

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Wenchang Zhang
12001 Old Columbia Pike unit 811, Silver Spring, MD, 20904
Tel: 5106105716
E-mail: wzhang@rhsmith.umd.edu
LinkedIn: https://www.linkedin.com/in/wenchangzhang
Education
Ph.D student in Operations Management & Management Science
University of Maryland, College Park, MD
2013-2018(Exp.)
M.A. Degree in Statistics
University of California, Berkeley, CA
G.P.A. 4.0/4.0
2012-2013
B.S. Degree in Mathematics & Physics
Tsinghua University, Beijing, China
Outstanding Graduates Award
2008-2012
Publication
Mengxiang Tang, Jason Zhu, Wenchang Zhang, Oliver Crespo, An Automated Data Analysis
Strategy to Identify and Classify Hematologic Neoplasms. The Journal of Immunology, May 2014.
Experience
Research Assistant, Robert H. Smith School of Business, College Park, MD
• Finding bundles of services for various episodes of care using unsupervised learning
algorithms.
• Studying non-adherence of medication among hypertension patients using unsupervised
learning algorithms.
Graduate Intern in Decision, Analytics and Research, PNC, Pittsburgh, PA/College Park, MD
• Develop a research package based on multichannel attribution Bayesian model to understand
customer’s online searching and purchasing behavior.
• MCMC is implemented in model estimation and attribution analysis is conducted.
• Model demonstrates high accuracy and robustness in terms of prediction.
Summer Associate, Beckton Dickinson Company, San Jose, CA
• Develop clustering and classification models to diagnose leukemia patients.
• Prediction accuracy on test set is above 90%.
• Project is published in Immunology 2014
Kaggler: Yelp Business Rating Prediction, Kaggle Competition
• Construct regression models based on customer check-in and review data to
predict rating stars that users vote on restaurants.
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Programming Skills
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May.2014 - present
Jun.2013 - Sep.2013
May.2013 - Aug.2013
Prediction accuracy ranks top 25%.
Graduate Student Instructor, University of California, Berkeley, CA.
• Teaching lab section of STAT 153 Time Series 4 hours a week.
• Holding office hours and making assignments solutions for students to refer.
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Sep. 2013 - Present
Statistics Packages & Tools: R, Python, Matlab, Excel
Programming: Java, C++
Other tools: MySQL, Git, Hadoop, CUDA
Jan.2013 - May.2013
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