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SAS, SQL, MS OFFICE, MATLAB

Location:
Milpitas, CA, 95035
Posted:
July 30, 2016

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Resume:

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



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