Quality Control Assistant
Resume:
Nianling Xiong
Kearny, NJ *7032
*********@*****.***
Objective - Talented Statistical Analyst and Programmer with experience in
statistical analysis in the quality control, marketing, and consumer goods
industries
Status - EAD Card holder (for Green Card)
Education
*M.S.: in Applied Statistics, Rochester Institute of Technology, Rochester,
NY, May 2010 (GPA-3.6)
*B.E.: in Engineering, Beijing Institute of Graphic Communication, Beijing,
China
Summary of Qualifications
* Skilled in numerical, statistical analysis. Strong abilities of
independent thinking and problem-solving.
* Excellent statistics software (Minitab, SPSS, JMP, S-Plus and R)
programming skill and graph skills.
* Certified Base Programmer for SAS 9, SAS Institute Inc.
* Certified Advanced Programmer for SAS 9, SAS Institute Inc.
* Strong planning, organization, leadership, and project management
skills.
* Great communication, teamwork and personnel skills.
* Good mastery in MS Office Software (Word, PowerPoint, Excel and
Access), and MS SQL Server.
* Exceptional ability to learn and master new technologies.
Coursework
Statistical Computing Theory of Statistics I & II
Design and Analysis of Experiments I/ II/III Regression Analysis I
& II
Probability Models Time Series Analysis and
Forecasting
Multivariate-Analysis Reliability Statistics
Statistical Process Control Quality Engineering
Skills
* Able to work in SAS/BASE, SAS/STAT, SAS/GRAPH, SAS/SQL, SAS/MACROS,
SAS/ODS and SAS/ETS.
* Proficient in importing various external data files into SAS Datasets/
SAS library by using SAS/Access, SAS/INFILE, SAS/Import, and SAS/SQL.
Manipulate SAS Datasets using data step, PROC SORT, MERGE, PROC
DATASETS, and PROC TRANSPOSE. Develop routine SAS macros to create
T/F/L.
* Able to perform statistical analysis using PROC MEANS, PROC UNIVARIATE,
PROC FREQ, PROC GLM, PROC MIXED, and PROC LOGISTIC.
* Skilled in generating tables, listings and graphs using SAS Procedures
such as PROC REPORT, PROC PRINT, PROC SGPLOT, PROC GCHART and PROC
TABULATE. Use PROC COMPARE to validate reports.
* Experienced in writing custom safety and efficacy reports directing SAS
output to RTF, PDF and HTML files using SAS ODS.
* Familiar with the procedures in Phases I- IV clinical trials studies.
* Able to apply Normal, Log-normal, Exponential and Weibull models to
reliability problems; deal with censored data, series systems and
multiple-failure modes; and apply Maximum Likelihood Estimation method.
* Able to design the experiments: include Completely Randomized designs,
Randomized Complete Block designs, Latin Square designs, Incomplete
Block designs; general factorial designs, including fixed, random, and
mixed-effects models, nested designs and split plot designs.
* Able to analyze complete balanced designs and arbitrarily complex
designs; restricted and unrestricted forms of the model; design and
analysis of general unreplicated designs; optimal designs for non-
standard situations, using D optimality and related criteria.
* Familiar with Regression analysis, include dummy variables, orthogonal
polynomials, selection of best linear models, regression applied to
analysis of variance (ANOVA) problems, ridge regression, generalized
linear models (GLM), nonlinear estimation, and model building.
* Building models of time series data with emphasis on model
identification, model fitting and diagnostic checking. Familiar with
survey of forecasting methods, regression methods, analysis of forecast
errors, Box-Jenkins models, and transfer function models.
Professional Experience
Teaching Assistant, John D. Hromi Center for Quality and Applied
Statistics (CQAS), 05/2009-11/2009
* Worked as teaching assistant (TA) in the Statistical Computing.
* Worked with professors on SAP to analyze customer's clinical trials,
participating in teaching the creation of the Tables/Figures/Listings
for clinical data.
* Leaded the discussions of the different application between R and SAS in
the statistical computing.
* Extended the teaching material from the SAS/BASE to SAS/STAT, and
emphasized the SAS application in the linear regression analysis, ANOVA,
and Logistic regression.
References
Joseph G. Voelkel, Ph.D.
Professor, Center for Quality and Applied Statistics
Kate Gleason College of Engineering
Rochester Institute of Technology
******.*******@***.***
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