Statistical Data Analyst/sas Programmer
Performed advanced statistical analysis (univariate and multivariate analysis of variance, cluster and path analysis, principle component and factor analysis, analysis of covariance, survival & longitudinal analysis, logistic and linear regression modeling), created customized reports and presentation quality data summary tables and figures.
- Involved in the development of a net present value (NPV) model that was used to optimize the selection of prospects using SAS BASE, SAS/Enterprise Miner and SAS Enterprise Guide.
- Defined the process to build predictive model, objective functions, variable selection and preparation and the statistical methodology and model validation.
- Developed and implemented logistic regression modeling for direct mail insurance by targeting responsive customers and minimizing risk.
- Implemented model validation and developed diagnostic tables and graphs that demonstrated how model can be used to improve the efficiency of the selection process for a life insurance acquisition campaign.