SAS Resume DE - Hire IT People

Objective
Analyst/Programmer with emphasis in data analysis, modeling and programming

Education
M.S. in Statistics.

Professional Exams:

SAS Certified Advanced Programmer for SAS 9(Score: 100%)

Microsoft Certified Technology Specialist:

SQL Server 2008, Database Development (Score: 100%)

Society of Actuaries Probability Exam

Computer Skills

Proficient: SAS (Base, Macro, Graph, STAT and ODS), SQL, MS office, Windows

Intermediate: VBA, R, Minitab, JMP, C++, FORTRAN, UNIX

Basic: MATLAB, HTML, SPSS, Linux

Working Experience
Statistical Analyst (Intern), Confidential,DE Jun.2009-May.2010

Contributing member of a small high-energy statistics group providing statistical design and analysis support for crop protection product through methods such as linear/logistic regression, multivariate analysis, and experimental design

Used SAS, Excel (including VBA), JMP and Minitab to provide accurate and statistically appropriate graphs, tables and model results for diverse types of analyses and developed/optimized relative project protocols

Wrote and validated SAS macro code for data summary and report from large complex datasets

Participated in meetings and consultations with statisticians and non-statisticians for project background communication, analysis direction and results interpretation

Research Assistant, University of Delaware Jan.2009-Sep.2009

Assisted in planning and conducting the economic experiments

Programmed the supporting software independently

Relative Projects Experience
Diverse types of SAS projects

Demonstrated programming skills through wrote and validated many SAS macro codes

SAS procedure used: reg, glm, anova, mixed, logistic, genmod, factor, princomp, cluster, tree, discrim, arima, sql, sort, corr, import, export, format, contents, datasets, surveyselect, iml, compare, ttest, univariate, tabulate, report, freq, means, gplot, gchart, boxplot and etc

Screen validation , Confidential, (using JMP, Minitab and Excel)

Assessed reproducibility and reliability of discovery bioassays through quality control

Optimized relative protocol

Global insect susceptibility monitoring project (using Excel VBA and Minitab)

Leadership role overseeing data entry of bioassay data

Checked the result through logistic regression and statistical graphs

Developed VBA software (using Excel VBA)

Created Macros for generating pivot table and report to the Word file

Found and fixed algorithm error in the software

Blue Nile Diamond Price Modeling (using SAS and JMP)

Stratified sampling method was used to collect the data sample of diamond price

Coded the key price determinants (Carat, Clarity, Color, Cut) into dummy variables

Build both log-linear and nonlinear model to predict the diamond price

Confidential,Direct Marketing Catalog Data Analysis (using SAS)

Using stepwise method to select key variables and build multiple regression linear model

Proposed proper marketing strategies for the company

Analysis of , Confidential,China (using SAS)

Cluster Analysis was used to classify the educational strength of China’s provinces

Ranked China’s provinces’ educational strength based on factor analysis

Suggestions are made to enhance the overall educational strength of China

U.S. Public Utility Data (using R)

Found the relationship between variables by principal component analysis and Biplot

Chose a proper number of principal components to explain through scree plot, total variance explained and eigen values

Data Simulation (using SAS and R)

Compared the precision of two estimators based on simulated data sets

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