Experience

International Council for the Exploration of the Sea (ICES)

• Research Services
• 200 - 300 Employee

• Sr. Statistical Research Anayst

  • Jan 2013 - Present

  - work with large health database - build complex model like random effect , time to event , cost model - deal with problems using advanced statistical methods, - work with large health database - build complex model like random effect , time to event , cost model - deal with problems using advanced statistical methods,



Epsilon

• Advertising Services
• 700 & Above Employee

• Sr. Statistician

  • 2007 - Dec 2012

  - Develop predictive response and consumer value models for campaign mailing selection - Optimize households selection to meet budget and quantity of returns - Build segmentation model to classify consumers and help client provide products or services differently to different segment consumers - Build response and payup model for client - Develop predictive response and consumer value models for campaign mailing selection - Optimize households selection to meet budget and quantity of returns - Build segmentation model to classify consumers and help client provide products or services differently to different segment consumers - Build response and payup model for client



International Council for the Exploration of the Sea (ICES)

• Research Services
• 200 - 300 Employee

• Statistical Analyst

  • 2004 - 2007

  - Built descriptive model to look at relationship between outcome and factors with consideration of confounds and time trending using Survival, Logistic, Poisson, Mixed, Loglinear, Piecewise regression models , propensity match method - Extracted data from multiple large transaction databaseand responsible for data cleaning , manipulation and create reasonable model or analysis sample - Built descriptive model to look at relationship between outcome and factors with consideration of confounds and time trending using Survival, Logistic, Poisson, Mixed, Loglinear, Piecewise regression models , propensity match method - Extracted data from multiple large transaction databaseand responsible for data cleaning , manipulation and create reasonable model or analysis sample



ICOM

• Advertising Services
• 100 - 200 Employee

• Statistical Modeler

  • 2000 - 2004

  - Built response model and pay up model to find responders and valuable customers - Built loyalty customer model for CPG and help client determine which offer could increase sales and how much the lift - Worked for different industry: non-profit, publishing, catalog, CPG and insurance - Create automation SAS programs templates with UNIX scripts for data cleaning, data manipulation, modeling and report creating - Built response model and pay up model to find responders and valuable customers - Built loyalty customer model for CPG and help client determine which offer could increase sales and how much the lift - Worked for different industry: non-profit, publishing, catalog, CPG and insurance - Create automation SAS programs templates with UNIX scripts for data cleaning, data manipulation, modeling and report creating