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About The Candidate

Resume ID #: 529
Current Location: Eden Prairie MN
Position Desired: Contract
Travel: Limited
Relocate: No
Experience
SAS Experience
SAS Version6x, 7x, 8x, 9x
SAS Certifications
SAS Certifications
SAS Certified Base Programmer for SAS 9
SAS Certified Advanced Programmer for SAS 9
Other Experience
Industry Experience
Automotive
Health Care
End-user Training
Functional Production Support
Higher Education
Project Management
Pharmaceutical and Biotechnology
Retail
SAS Experience
SQL programming skills
SAS Product Experience
Base SAS®
Enterprise Guide®
Enterprise Miner™
JMP®
SAS / ACCESS®
SAS / CONNECT®
SAS / ETS®
SAS / GRAPH®
SAS / IML®
SAS / INSIGHT®
SAS / STAT®

Work History

JD Power and Associates 02/06 to 06/2005
Statistician
Maintained and developed marketing reporting tools for OEMs, including BI views, sales forcasting, ad hoc reporting, and data mining roles. Took over and cleaned old programs/solutions. Automated manual processes. Educated end-user on interpretati
University of Southern Ca 06/02 to 02/2007
Sr. Programmer analyst III
all analytic support for Research team. Responsible for assessing, documenting and improving processes. Innovative statistical solutions and applications to Outcomes Research.
Ingenix 02/ to /
Sr. Statistician
Acting PM for in house effort to build predictive model for billing fraud.
esponsible for bridging the gap between vendor statisticians, project managers, and statisticians.
Spent four weeks in Delhi managing Stats team.

Education and Professional Training

Saint Olaf College / to /
Northfield MN
B.A. Mathematics, Economics, & Statistic
University of California, Los Angeles / to /
Los Angeles MN
M.S. Biostatistics

SAS Experience Narrative

8+ years of training/background experience. Scheduled for SAS advanced exam September 2008. worked in both team programming enviorments as well as programming/warehousing silos. Consulted with USC on potential cloud computing solution. Enterprise miner for CART, neural networks, baesian design, etc. ETL a variety of data sources with incredible variety.

Non-SAS Experience Narrative

Methods include – Decision Trees, Link Analysis, Principle Components Analysis, Clustering Analysis, Survival Analysis, OLS, logistic regression, CART, CHAID, and most other Regression and Data Mining Techniques. SAS BI, STAT, ETL, BASE, and EG expert. Strong background in Automation and Reporting.
JMRG Consulting – Working on Data Collection, Cleaning, Storage, and all Analysis for several projects. Aided in writing and editing of Abstracts for presentation, posters, and manuscripts.