YANGYI ZHAO
acvxzz@r.postjobfree.com
**** ********** **. *****, ******** View, CA94040
phone: 480-***-****
PROFESSIONAL SUMMARY
Accomplished Bachelor Degree of Applied Math and Master Degree of Statistics in ASU. Well versed in using SAS, SQL, python and MATLAB for analyzing data and constructing statistics models. Excellent communication skills. Ability to fit in team-working environment. Seeking a position that allows me to utilize my strengths in data analysis.
EDUCATION
MS, Statistics December 2015
School of Mathematical and Statistical Sciences
Arizona State University (ASU), Tempe, AZ
GPA: 3.63
B.S., Mathematics and Applied Mathematics June 2013 College of Mathematical Science
Ocean University of China (OUC), Qingdao, China
Exchange Student Sep 2010-July 2011
College of Mathematical and systematical Science
Shandong University, Jinan, China
RESEARCH EXPERIENCE
Free Trial Screener A/B Testing, Udacity 04/2016-05/2016
Generate hypothesis and specify invariant and evaluation metrics
Determine the size of sample and duration of the experiment
Conduct sanity check and analyze the result, make the decision or recommendation Mixed Model Analysis of Censored Longitudinal Data, ASU 03/2015-11/2015
Generate 1000 data sets from MPLUS with settled mean and variance
Adapt mixed-effect regression model with censored and uncensored data using SAS
Compare result of MIXED and NLMIXED procedure in SAS with the same data set to find the better model
Conduct the simulation with real world raw data from U.S. Department of Education A fast, robust and tunable synthetic gene oscillator, ASU 02/2014-05/2014
Constructed mathematical model from biological processes
Draw bifurcation analysis graph of given gene data with MATLAB
Made a presentation of representing the result
The Construction of Gene Network: Find Key Gene of Recurrent Prostate Cancer, OUC 11/2012-05/2013
Collected valid recurrent and non-recurrent prostate cancer gene expression data from NCBI database
Obtained node genes of the network through Wilcoxon rank-sum test method and build gene network
Compared the structural parameter of the cancer-group with healthy-group to find key genes of recurrent prostate cancer
Acquired key gene functions from GO website to verify the accuracy of the gene network Technical Skills and Certifications
Software SAS, SQL, MATLAB, Microsoft Office, GIS
Programming language Python, C, C++, Visual Basic
Certification SAS Base Programming for SAS 9