Data science, visualization, and predictive analytics professional.
Current focuses are on applications of machine learning techniques to applied business problems, including random forests for predictive modeling and support vector machines for certain classification exercises.
Recent areas of research and development include latent causal class analysis in credit data and latent transition analysis.
I use SAS and R, mostly, but I also make use of Python and Scala.