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Data Analyst Resume

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Easton, MD

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SUMMARY:

  • A highly motivated and hard - working professional with extensive experience of large medical databases and claim databases.
  • Possesses a strong track of record with demonstrated expertise in statistical and econometric analyses. Special skills include.

PROFESSIONAL EXPERIENCE

Data Analyst

Confidential

Responsibilities:

  • Work with NAMCS/HNAMCS CDC database, for outcome researches, utilizing the SAS with various multivariate National statistical techniques (e.g. logistic regression, time series.)
  • Performed cross-sectional analysis and evaluated the prescribing patterns of pain killers in US using NAMCS/HNAMCS databases
  • Performed cross-sectional analysis and measured the utilization of Sildenafil in Pediatric Pulmonary Hypertension.

Data Analyst II

Confidential, Easton, MD

Responsibilities:

  • Worked on Medicare claims data using various CMS databases, data coding, data quality control, data validity, data manipulation, data analysis by SAS.
  • Prepared reports for Medicare oversight and fraud investigation

Thesis Work

Confidential

Responsibilities:

  • Work with CDC databases like NAMCS/HNAMCS, NHANES for pharmacoeconomic outcome researches, utilizing the SAS and other statistical software with various multivariate statistical techniques (e.g. logistic regression, survival analysis, multiple regression, analysis of variance (ANOVA), analysis of covariance (ANCOVA), factor analysis (FA), and etc.).
  • Cross-sectional analysis evaluated the prescribing patterns of cessation medications in obese smokers using NHANES and NAMCS databases
  • Cross-sectional analysis that measured the utilization of Cox2 inhibitors in arthritis using NAMCS/HNAMCS.
  • Conduct cost-effectiveness analysis of plasma exchange and intravenous immunoglobulins in the treatment of myasthenic exacerbation

TECHNICAL SKILLS

Skills: Proficient in SAS (SAS/BASE, SAS/MACRO, SAS/SQL, SAS/STAT, SAS/GRAPH, SAS/ACCESS, SAS/CDISC/SDTM and SAS/CDISC/ODM), STATA and SPSS for performing statistical and econometric analyses;

Database: Large medical databases including Medicare Claims, NAMCS, and NHANES and others.

Software: Statistical: SAS, R, STATA, SPSS

Other: Excel/VBA, MS Access/VBA

Relevant Coursework: Biostatistics, SAS Programming, Econometrics, Pharmacoepidemiology, Study Design, Pharmacoeconomics, Logistic Regression, Pharmacy Administration I and II.

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