I have 38 years experience implementing and commercializing predictive analytic engines, such as CART, TreeNet (i.e., Stochastic gradient boosting aka "MART"), RandomForests, MARS, GPS (Generalized PathSeeker), LOGIT (binary and multinomial logistic regression), CTM (Continuous Time Modeling),
and Survival Analysis among others. I have considerable mastery of the algorithmic and computational details of these engines having taken all of them from their earliest academic origins (e.g., CART in 1988, originally written in Mortran/Fortran by the CalStat team at Stanford and Cal Berkeley)
through many cycles of extension, testing and refactoring into successful commercial products, most notably Salford Systems' "Salford Predictive Miner" and, following Minitab LLC's acquisition of Salford Systems, into Minitab Statistic Software. Over the years I have rewritten
parts or all of these engines, sometimes multiple times, as market and client requirements have evolved while remaining faithful to the original algorithm and spirit of the authors.
CART, TreeNet/MART, RandomForests and MARS are some of the most important and foundational algorithms, and their authors some of the most brilliant minds, in the data mining and predictive analytics space. I acquired mastery of all these methods as both an algorithmist and developer in order to bring them to market, transforming them from early academic implementations
into stable, fast, well-tested, computationally-correct and commercially-successful software products. Our efforts led to Salford Systems' flagship software "Salford Predictive Miner" being licensed to over half of the Fortune 500 and being cited often in scholarly literature
. Since 2017 I have been