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Statistical/sas Analyst Resume Profile

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Cary, NC

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Technical Skills:

Interdisciplinary experience/education in statistics, bioinformatics, data analytics, computer systems, electrical engineering and physics. Design/Development/Simulations/Validations/Problem Resolutions of systems using hardware, firmware and software debugging/testing.

Languages: SAS, C/C /e, VHDL/Verilog, X86 Assembly, HTML, Perl, Java, FORTRAN, BASIC, DSL

Development Tools: SAS, SAS Enterprise Miner, Xilinx ISE, Cypress PSoC programmer, SYNOPSYS, Viewlogic,

Cadence, MTI, Summit and Intel compilers/synthesis, Specman Elite, MS Office suite tools.

Operating Systems: Windows, Linux, AIX/UNIX, OS/2, DOS, VM, MVS

Personal: Multi-disciplined, detail-oriented, excellent team-player, diverse capabilities, Strong analytical skills.

Recent Professional Experience

Confidential

Statistical/SAS Analyst

  • Analyzing business statistical data to improve business efficiencies using Excel vlookups/pivots , SQL Symphony,

Confidential

SAS/STAT,

  • Clinical/SDTM SAS programming mapping aCRF to SDTM CDISC domains for validations SAS/Base, Macros

Confidential

  • Design and development support of Data Storage Area Network RAID SAS controller/cluster components
  • Validation of IBM PowerPC processors using Windows/Linux platforms. Power Sequencing embedded PSoC design

Confidential

  • IBM BladeCenter development, Test/debug/develop Embedded C programming application for fan controller using
  • Cypress PSoC designer, Malaysia/China travels for customer/manufacture support and problem resolution.

Confidential

  • Macro variables, delimiting macro references, macro functions, macro parameters, creating macro variables in DATA
  • step and in SQL, SYMPUTX, Conditional and iterative macros, parameter validation, indirect referencing.

Confidential

  • Non-correlated and correlated subqueries Complex SQL joins/intersects/unions Creating tables and Views,
  • Dictionary tables SQL and Macros Benchmarking Indexes, Managing tables.

Confidential

  • Designing jobs with SAS Data Integration Studio aka ETL Case Study Description Domain loading jobs
  • Registering Study Source Tables Defining Target Domain Metadata
  • Programmers activities: Creating jobs to load DM/XP/SUPPDM/QS domains CDISC-SDTM Compliance Checks for
  • DM/QS and Externally Supplied AE Domains Generating standard and customized CRT-DDS Define.xml files
  • Clinical Study and Clinical Data Standards Administration activities Importing Standard Domains, Domain
  • Columns, and Compliance Check Metadata Analyzing Domain usage and promotion of custom domains Creating
  • customized compliance checks importing controlled terminology Creating: Terminology Packages, Default Contentsand New Clinical Study

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