1. Shirley (Xuan) Zang
41 Bonner Ave, Medford, MA 02155 | 732.485.0906 | xuan.zang@tufts.edu
Objective: Dedicated and motivated engineering graduate seeking entry level
data scientist position
EDUCATION
Tufts University, Medford, MA, USA Expected May 2016
Candidate for Master of Science, Dept. of Biomedical Engineering, GPA 3.72/4.0
(Focused on medical signal processing and image analysis)
Northeastern University, Shenyang, P.R. China Jun 2014
Bachelor of Engineering, Dept. of Computer Science, GPA 3.9/4.0
SKILLS
Programming Languages: Proficient in Python, R, MATLAB and SQL. Familiar with C and Java
Tools & Platforms: Advanced user of MS Office applications, SAS, PyLab, SQLite and Google Maps API
Related Courses: Machine Learning, Probability and Statistics, Database, Algorithm, Financial Management
PROFESSIONAL EXPERIENCE
Research Assistant Feb 2015 - Present
Diffusion Optical Imaging Laboratory in Tufts University
Applied diffusion theory, Hilbert Transform, modified Beer-Lambert law and inverse model based on Levenberg-
Marquardt algorithm to quantify and differentiate cerebral function in multiple layers of brain using MATLAB
 Validated result through Monte Carlo simulations, ANOVA test, repeated experiments on phantoms and human
Coauthored two papers to be published in SPIE conference and PHOTOPTICS conference
Intern Radiologic Technologist Dec 2013 - Mar 2014
Department of Imaging and Radio Diagnosis in Huaiyin Hospital (China)
 Assisted with radiologic technologists to conduct CT and MRI imaging on patients
 Analyzed CT/MRI images and cooperated with the experts in imaging and nuclear medicine to identify diseases
PROJECT EXPERIENCE
Revealing Local Attitudes from Craigslist Based on Bayesian Probability Theory Dec 2015
 Designed an UI in Python that shows most descriptive word according to the city name user inputs
 Imported RSS feeds from Craigslist and transformed them into tidy format for further training and testing
 Extracted features from above dataset in Python by estimating conditional probability of each feature word for
that city based on Bayesian theory
Improving Simple Classifier Performance with the Adaptive Boosting Meta-algorithm Nov 2015
 Implemented adaptive boost algorithm in Python through iterative calculating weighted sum of all simple
classifiers and resigning weights to initial training set based on classifying accuracy until error below 1%
 Trained and predicted on dataset about survival rate of horse with colic, accuracy improved from 66% to 80%
Cough Detection Algorithm for Monitoring Patient Recovery from Pulmonary Tuberculosis Aug 2015
Examined acoustic signals in time & frequency domain and combined two metrics (change in energy at start of
cough event and amplitude ratio of peak to average) for better discriminating true cough events from noise
Generated ROC curves to get better insight of performance with different threshold values
Business Plan for Flower Tea Company (first prize among all the business plan) Apr 2015
Analyzed market demand and viable competitors comprehensively and developed detailed business plan
Created 5 year pro forma including income statements, balance sheets, cash flows and investor return analysis
Presented the business plan to the venture capitalist and professors from Harvard Business School
HONORS
Tuition Scholarship from Tufts University (merit based) Sep 2014 - May 2016
National Scholarship (the highest level of scholarship in China) Oct 2012
First Prize at National Math Contest for College Students Sep 2012