is President of AB Analytics. For over two decades, Tony Babinec has specialized in the application of statistical and data mining methods to the solution of business problems. Before forming AB Analytics, Babinec was Director of Advanced Products Marketing at SPSS; he worked on the marketing of Clementine and introduced CHAID, neural nets and other advanced technologies to SPSS users. He is on the Board of Directors of the Chicago Chapter of the American Statistical Association, where he has held various offices including President.
Education:
BA in Sociology, University of Chicago
MA in Sociology, University of Chicago (Advanced Statistics and Political Sociology)
Areas of Expertise:
Data Mining
Machine Learning
Latent Class Models
Choice Models
SPSS
Decision Trees
Neural Nets
Publications:
Editorial Board of the Journal of Targeting, Measurement and Analysis for Marketing
Presentations:
AMA's Applied Research Methods Conference
Advanced Research Techniques Forum
Sawtooth Software Conference
Statistical Innovation's Statistical Modeling Week
Awards:
Elected Phi Beta Kappa
Courses:
Cluster Analysis
Data Mining: Unsupervised Techniques
Decision Trees and Rule-Based Segmentation
Discrete Choice Modeling and Conjoint Analysis
Introduction to Predictive Modeling
Principal Components and Factor Analysis
Survey Analysis
Survey Design and Sampling Procedures