Sas Developer Resume Profile

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 / Education:

Confidential

Analyzing business statistical data to improve business efficiencies using Excel vlookups/pivots , SQL Symphony,
Veeva databases and SAS Platforms. SAS/STAT, correlations, regressions, SQL and SAS Enterprise Miner
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
in C. Board and System BringUp activities including Python scripts and Database complex SQL queries.
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 Contents
and New Clinical Study

Confidential

Data Analyst/SAS Programmer CITI certified heavy SAS macro programming/datasteps/proc usage SQL
Global macro variables with SYMPUT/SYSFUNC/NRSTR/etc
Data analysis for environmental and asthma studies Working with epidemiologists/statisticians on different
studies at EBB / NHEERL / EPA.
For air pollution health effects studies EPA, NCSU : Developed a SAS application program that provides daily
mortality counts aggregated for specific underlying causes e.g. cardiovascular or respiratory as per ICD-10 coding
for specific Metropolitan Statistical Areas. These daily mortality counts were to be correlated to fine particulate matter
PM2.5 measurements from STN monitors of different MSAs to study air pollution effects. Summarizing results with
tables, figures, charts and graphs with PROC TABULATE/REPORT/GPLOT, etc
Other studies: Detroit Children's Health Study/DCHS, and Mechanistic Indicators of Childhood Asthma/MICA
01/03 01/10 NC State Univ Ph.D. program Biostatistics/Bioinformatics
Statistical Methods for Biological Experiments: SAS 9.1 for Statistical Analysis.
Conducting appropriate tests of hypotheses one-sample, two-sample, paired-sample, Analysis of Variance,
Chi-square, Contingency Tables, McNemar's, Wilcoxon signed rank, Rank Sum, Mann-Whitney
Confidence limits for means, variances designing effective experiments, SAS programming and SAS output analysis.
Completed extra SAS programming classes at NCSU.