Data Analys Resume
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Objective
- To seek a SAS Consultant position, involving excellent SAS experience and quantitative capability
Strengths
- Quick self-learning, good communication and interpersonal skills
- Strong organizational and problem solving ability, high degree of accuracy and attention to detail
- Several years of experience with clinical trial, medical and biological data
- Advanced SAS programming skills and 5 years experience with data processing and modeling
- Capable of handling multi-task to meet requirements and deadlines
- Proficient with SAS SQL and ODS database management tools
- Ability to develop and evaluate models to solve specific problems
Computer and Software
- SAS System: SAS/BASE, SAS/STAT, SAS/SQL, SAS/GRAPH, SAS/MACRO, SAS/ACCESS, SAS/ODS, SAS/Enterprise Miner, SAS Enterprise Guide
- 5 years of SAS experience with various data (Clinical Trial, Bioinformatics, Genetics, etc)
- Computer Tools: Excel (Data Table, Functions), Word, Outlook, PowerPoint, Access, JMP
- Proficient in MS Office software package
- Computer Languages: R, MATLAB
- Skilled knowledge of coding, modeling and data processing
Certification
- SAS BASE PROGRAMMER CERTIFICATION
- SAS ADVANCED PROGRAMMER CERTIFICATION
Education
- Master of Science.
Professional Experience
- Data analyst, Confidential,Houston, TX. Jun. 2008 – Sep. 2008 (Internship)
- Analyzing data of weather factors to investigate the influence on molding process
Selected Projects
‘Body Fat Percentage Estimation with physical measurements’
- Data Mining techniques by SAS Macros (Logistic Regression, Principle Components, etc)
- Using SAS Enterprise Miner to perform nearest neighbor, regression tree and neutral networks
‘Analysis, Confidential,Growth and Bank Crisis in the World from 1980 to 1997’
- Data set collected by the World Bank, which contains 79 countries with 64 variables from 1980 to 1997
- Applying a multi-linear regression and forward variables selection method to analyze GDP growth
- Applying logistic regression and backward variables selection method to analyze Bank Crisis
‘Effects of Endophyte-Infected Fescue Seed on horses’
- Statistical consulting to the Animal Science, Department of Agriculture, University of Kentucky
- Fitting multiple linear regression model to the data and test for the effect on recovery in horses
- Designing the experiment using randomized complete block design
