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Data Analyst Resume

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OBJECTIVE

SAS Programmer, Statistical Analyst, and Data mining.

TECHNICAL SKILLS

Programming Languages: SAS, R, UNIX shell script, JAVA, MATLAB, Visual Basic, ACCESS, C++, and Microsoft Office.

Operating Systems: UNIX, Linux, Windows NT server, Windows 2000, Novell Netware, and Windows 7.

Database system: SQL server, ORACLE.

WORK EXPERIENCE

Data Analyst

Confidential

Responsibilities:

  • Evaluate the given problem, design the experiment, explore and propose solutions.
  • Develop SAS program and SAS/Macro to prepare analysis data sets and generate reports.
  • Collect and process data from multiple sources.
  • Perform statistical analysis of data, make inference, and present results.
  • Perform compare analyst for different strategies, plan alternatives. Develop computer models for simulation.
  • Compare the methodologies and procedures for carrying out effective data analysis and loss forecasting for improvement.

Graduate Research Asst

Confidential

Responsibilities:

  • Project: Developing sample guidelines (deriving sample sizes) for land use/management systems in order to compare them.
  • Surveyed the range of soil properties in one type of soil.
  • Developed experimental/research design.
  • Analyzed Data Set with SAS programming, R and Excel.

Project Manager

Confidential

Responsibilities:

  • System analyst to provide support and solution for hardware, software, and networking.
  • Designed and implemented the network system to new subsidiaries for each city.
  • Provided WAN and LAN support and security for branch offices through Cisco routers.
  • Maintained and improved the Web - server and Mail-server.

Software Development Engineer

Confidential

Responsibilities:

  • Designed and improved the Stock information analysis system--HuiJin stock analysis system. Responsible for system analysis, design, and development.
  • Designed the software program for user management system and remote-user exchange system. Provide the efficiency of all of the communications and maximize the value of each customer - whether it is by Web, phone.

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