Zhenyi Liu

***N Indiana Ave, Lubbock, TX ***** 806-***-****

acf4fw@r.postjobfree.com

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Exceptional data scientist and statistician with 5 years of research

experience in data analysis and applied mathematics. Excellent hands-on

skills on statistical model building, linear and logistic regression,

machine learning, cluster analysis, time series analysis, optimization.

Skilled SAS certified programmer. Experienced graduate research project

leader in projects supported by Defense Threat Deduction Agency. Published

14 peer reviewed conference and journal papers.

Work and research experiences:

Graduate Research Project Leader

2009-2014 TTU, TX

. Constructed a linear regression model based on the data set of

efficacy of nosocomial infection control with SAS. Validated

assumptions of the model with Brown-Forsythe and Durbin-Watson test.

Identified outliers with cook's distance, DFBETAS. Conducted model

refinement and selection.

. Classified the small, round blue cell tumors of childhood with Support

Vector Machine. Validated the model with the method of cross-

validation.

. Built a logistic regression model based on the data set of dengue

epidemics. Conducted model selection with forward selection and AIC

methods. Validated the model with Chi-squares test and ROC curve.

. Constructed a SARIMA model with arctic sea ice data set with ACF, PACF

and AIC methods in time series. Predicted the amount of arctic sea ice

with the best linear predictor.

. Designed a novel algorithm to approximate the static and dynamic

distribution of contaminants in a region with a non-linear regression

model and design of experiment method.

. Estimated the distribution of moving contaminants by Weighted Least

Squares estimator. Built the distribution map of contaminants with

Generalized Least Squares estimator based on non-linear regression

model with auto-correlated error using ARMA process and Iteratively

Reweighted Least Squares (IRLS) algorithm.

. Analyzed the asymptotic property of Least Squares estimator in non-

linear regression model and guaranteed the convergence of the

algorithm.

. Designed Particle Swarm Optimization algorithm for cascade failure in

power grid with parallel computing methods OpenMP and MPI.

Technical Summary:

. Proficient in Matlab, SAS, R, C, SQL, Java

. Skilled in Design of Experiment, Optimal Design, Time Series, Linear

and Non-linear regression, Machine Learning, Data Mining, statistical

techniques such as clustering, classification and discrimination

. Expert in optimization techniques such as Simplex Algorithm,

Evolutionary Algorithm, Particle Swarm Optimization algorithm, Multi-

objective optimization

. Skilled in parallel computing methods such as OpenMP and MPI

. Skilled in Latex, Microsoft Office (Word, Excel, PowerPoint)

Certification:

. SAS Certified Base Programmer for SAS 9

. SAS Certified Advanced Programmer for SAS 9

Education:

. Ph.D. in Mechanical Engineering (Applied Math Area), 2014, Texas Tech

University, Lubbock, TX GPA: 3.92

. M.S. in Statistics, 2012, Texas Tech University, Lubbock, TX GPA: 3.83

. B.S. in Mechanical Engineering, 2009, Sichuan University, China.

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