I am a statistician, educator, and data analyst with over 20 years of combined experience spanning applied industry research, independent consulting, and university-level instruction. My work sits at the intersection of rigorous statistical methodology and practical implementation — from experimental design and predictive modeling to reporting automation and analytical pipeline development.
At Syracuse University I teach graduate and undergraduate courses in probability, mathematical statistics, statistical computing, data science, and statistical consulting. I also serve as the SUPA Statistics Faculty Liaison, overseeing a network of 36 sections of introductory statistics delivered by high school instructors across 15+ New York State school districts.
My consulting practice has served clients in telecommunications, technology, healthcare, logistics, automotive, and manufacturing — including AT&T, FedEx, IBM, Microsoft, Welch Allyn, and Cox Automotive. I specialize in discrete choice and conjoint analysis, survey design and weighting, segmentation and classification modeling, and building automated analytical systems that eliminate manual bottlenecks.