Statistician/data analyst

FANG LIU

*** ***** *****, *** # ****, Jersey City, NJ 07310

Email: ***********@*****.***

EDUCATION

　　M.S. in Applied Statistics, Aug. 2009

　　Purdue University, West Lafayette, IN

GPA=3.9/4.0

Ph.D. in Pharmacology,Dec.2009

Purdue University, West Lafayette, IN

GPA=3.7/4.0

　　B.S. in Biological Sciences, July 2004

　　Fudan University, Shanghai, China

　　 GPA=3.7/4.0

TECHNICAL SKILLS

* Statistical analysis

> 3 years solid experience in statistical methodologies (e.g. linear regression, logistic regression, experimental design, ANOVA, MANOVA, multivariate analysis such as factor analysis, mixed models, survival analysis and Bayesian technique)

> SAS and R – experience using SAS/BASE, SAS/MACRO, SAS/SQL and R to analyze data and draw statistical conclusions

* Microsoft SQL – experience using this to access datasets from databases, to extract and summarize data

* Microsoft Excel

> PivotTables – experience using this to extract, organize and summarize data

> Design formulas and generate charts

* Experience with Unix environment and programming language C

* Excellent writing and oral communication skills

RELATED EXPERIENCE

* Relevant projects, Purdue University, 2007-2009

> Predicting soccer games: designed a logistic regression model to model and predict soccer game outcomes, and used SAS and R to fit the model, analyzed the goodness-of-fit and applied the model to computer simulations.

> Analyzing breast mass cell nuclei characterization data: applied multivariate analysis techniques including principle component analysis, factor analysis and clustering analysis etc.

> Applying first-order optimization algorithms to solve linear regression and logistic regression: implemented C function to solve ridge regression and l1-regularized linear regression.

> Analyzing cancer diseases data in Texas: created and manipulated tables using SQL queries involving select, where, order-by, group-by and transform etc, and generated reports.

* Statistical consultant, Purdue University, 2009

> Designing experiments to assess broiler legs: designed an experiment with complete randomization and repeated measures.

> Analyzing the effect of feeder size to egg production: fit the data with generalized linear model and analyzed the goodness-of-fit using SAS.

* Research assistant, Purdue University, 2005-2009

> Designing experiments and analyzing data in Parkinson’s disease research: applied statistical methodologies involving complete randomization design, block design, ANOVA and mixed models etc and analyzed experimental data using SAS.

CREDENTIALS

* SAS Certified Base Programmer for SAS?9

* SAS Certified Advanced Programmer for SAS?9

HONORS AND AWARDS

* Ronald W. Dollens Graduate Scholarship in the Life Sciences, Purdue University, Oct. 2008

* Jekins-Knevel Award for Outstanding Graduate Research, Purdue University, Oct. 2008

* People Scholarship, Fudan University, 2001-2003

Contact this candidate