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BethesdA

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SUMMARY

SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling

  • Ph.D. with substantial coursework in research methodology and mathematical statistics
  • Knowledge of software development life cycle SDLC , database design, RDBMS, SQL, data warehouse, business intelligence, SAS, and R
  • Proficiency in descriptive statistics, inferential statistics, SAS statistical analysis, and predictive modeling
  • Strong working experience with SAS statistical methods such as descriptive analysis, categorical data analysis, linear regression, logistic regression, analysis of variance ANOVA , and model performance measurement
  • Extensive working experience with SAS BASE, SAS Macros, PROC SQL, SAS/STAT R , SAS/GRAPH, SAS Enterprise Guide, SAS Web Report Studio, OLAP Cubes, and Ad-hoc analysis reports
  • Experience with interfacing between SAS and various external data sources such as Excel, Access, DB2, Oracle, and raw data files
  • Strong working experience with SAS data step to create SAS data sets, perform complex data file merges, create analysis variables, and execute SAS processing such as Do Loop and arrays
  • Strong working experience with Base SAS procedures to generate listing, reports, tables, charts, plots, and graphs
  • Knowledge and experience using ODS to produce output to various destinations HTML, PDF, Text, Excel, XML
  • Specific expertise in assembling and organizing data in tabular tables, graphs, and charts and narrative form for documentations, presentations, and regulatory submissions
  • Familiar with Oracle 11g, Microsoft SQL Server 2012, My SQL, T-SQL, and PL/SQL
  • Proficient with Microsoft Office Word, Excel, PowerPoint, Access, XML, and HTML
  • Knowledge and experience with business intelligence, project management, and business requirements
  • Knowledge of medicine, healthcare, pharmaceuticals, and biology and strong record of scientific achievements
  • Strong time management/organizational skills, analytic and problem-solving skills and abilities to work independently
  • Excellent verbal and written communication skills, interpersonal and collaborative skills and abilities to work effectively in a team-oriented environment

EXPERIENCE

Copnfidential

  • Design and develop data applications using SQL Server Integration Services SSIS , PL/SQL, T-SQL, SAS PROC SQL, and stored procedures
  • Analyze and update datasets using the SQL Server Analysis Services SSAS and SAS programs
  • Maintain and report data using SQL Server Reporting Services SSRS , PROC REPORT, PROC TABULATE, and SAS/GRAPH

Copnfidential

  • Performed collection and storage of unstructured raw data for business intelligence BI
  • Developed business intelligence by data integration, data quality, data warehousing, data mining, master data management, and text and content analytics
  • Identified and created new business opportunities and implemented effective business strategies
  • Performed data import and export through utilizing integrated CCS database programs
  • Executed aggregate functions or SAS dataset functions through writing SQL queries or SAS codes and data reporting with SSRS or SAS procedures
  • Conducted data sorting and grouping and data analysis utilizing SAS statistical programs

Copnfidential

  • Utilized SQL an SAS to plan and manage research projects and analyze and interpret scientific experimental data
  • Created SAS data sets by interfacing Microsoft Office Access, Excel spreadsheets, and raw data files
  • Grouped and sorted data by utilizing SAS procedures such as PROC SORT, PROC REPORT, and PROC MEANS
  • Analyzed data with PROC SQL and SAS statistical methods such as dispersion analysis, analysis of variance ANOVA , linear regression, and logistic regression
  • Performed SAS programming to generate output listings, reports, tables, charts, plots, and graphs
  • Incorporated the tabular form tables, graphs, and charts of scientific data into narrative form for internal documentation requirements and regulatory submissions

Copnfidential

  • Converted scientific experimental observations to dataset formats by knowledge-based software applications
  • Managed research projects and analyzed experimental data with SQL and SAS programs
  • performed SAS programming, SAS function applications, SAS PROC SQL, and SAS statistical analysis
  • Assembled and organized scientific data in tabular and narrative form for documentation, presentations and publications

Copnfidential

  • Utilized Microsoft Excel, SQL, and SAS to analyze and interpret experimental data
  • Created and restructured scientific data sets, and executed conditional, DO Loop and SAS array processes
  • Performed SAS statistical analysis such as descriptive statistics and inferential statistics
  • Generated data reports in tabular form tables, graphs, and charts for presentations and publications

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