We provide IT Staff Augmentation Services!

Data Analys Resume

2.00/5 (Submit Your Rating)

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

We'd love your feedback!