Peter Ingraham

Work History

Work History
Feb 2006 - Present

Senior Vice President

Princeton Brand Econometrics
• Measured Return on Investment of various campaign efforts, such as details, samples, claims, etc. • Independently work on projects from start to finish: study design, analysis, report and presentation • Developed multivariate statistical analysis of messaging studies: factor analysis, cluster analysis, discriminant analysis, correspondence analysis, logistic, non linear regression, etc. • Worked with IMS, Verispan, Wolters Kluwer prescription, promotion and sales target data. • Forecasting (Predictive Modeling), promotion response projects using Hierarchical Bayes regression and Market Segmentation using various cluster analysis procedures such as Latent Class • developer of simulated test market experiments methodology. worked / consulted with GlaxoSmithKline, Solvay, Eurand, Galderma, Meda, ViroPharma, Allergan, NovoNordisk, Wyeth, Abbott, Dainippon Sumitomo, Johnson&Johnson, many others
2003 - Present

Vice President

Princeton Econometrics
• Hired and trained a team of analysts • Developed proprietary statistical analyses in SAS, automation of complete report generation using SAS, SQL, SAS/Graph, usage of Excel and Power Point, and presentation of results to clients. • Identified improvements in marketing efforts for clients that led to up to billion dollar sales growth
2001 - 2003

Senior Analyst

Princeton Brand Econometrics
• A tremendous turn around story involving significant client satisfaction improvement as well as high growth in product demand through product development, SAS automation and product improvements • Lead developer in statistical analysis of awareness trial and usage studies: factor analysis, cluster analysis, discriminant analysis, correspondence analysis, logistic, non linear regression, etc. • Developed proprietary statistical analyses in SAS, automation of complete report generation using SAS macros, SAS/Graph, usage of Excel and Power Point, and presentation of results to clients. • Responsible for proposal writing, client management and some sales initiatives.
1997 - 2001

Analytical Executive

ACNielsen consultant to Kraft General Foods
• Performed statistical analyses for many market research projects across the various New York area Kraft General Foods divisions. Summarized and interpreted results of these projects. • Developed presentations to clients within market research, marketing and sales divisions of Kraft. • Found ways to enhance methodology used for cannibalization and marketing mix analyses. • Key contributor and eventually lead developer of the Price Solutions and Insights Model. This methodology is an iterative, hierarchical, constraint-imposed price elasticity and promotion model.
1992 - 1997

Biostatistician

Bristol-Myers Squibb
• Performed statistical analyses for many study reports for VIDEX, ZERIT and Lobucavir. This included Phase I, II and III studies. Summarized and interpreted results of these studies. • Was lead point person among statisticians for organization and compilation of all 500 or so slides for the ZERIT NDA (Advisory meeting for FDA) which included graphical and statistical summaries. • Promoted from Associate Biostatistician in 1996 • Established modeling expertise: survival analysis, generalized linear models, longitudinal data (Generalized Estimating Equations), logistic regression, analysis of variance, multivariate, etc. Demonstrated proficiency at design of studies (sample size estimation and power).
1991 - 1991

Statistics Intern

Merck
• Provided Splus lowess smoothing plots for an Ambulatory Blood Pressure Monitoring CV study

Education

Education
1990 - Present

BS

University of South Carolina-Columbia
Best Statistics Student Award Categorical Data Analysis, Mathematical Statistics, Applied Statistics
1994 - 1997

Ph. D. coursework

The University of Connecticut
design of experiments, mathematical statistics, generalized linear models, non linear models
1990 - 1992

MS

The George Washington University
Graduate Teaching Assistant mathematical statistics, multivariate, linear models, biostatistics, survival analysis, statistical programming