Meet our data scientist team
Katie Deheer MS, MBA
Katie is the Senior Data Analyst for Trinnex and architect of leadCAST Predict, the predictive modeling module within leadCAST. Katie has over 12 years of experience in analytics-driven research, machine learning, and data visualization. Katie has led the development of predictive pipe material models for clients such as Salem, VA.
Mark Zito, GISP, CFM
Mark is the senior product manager and architect of leadCAST and has over 15 years of experience helping utilities implement software solutions. Mark has executed over a dozen lead and copper-related projects including the award-winning Newark Lead Line Replacement Program, where he designed a data-driven solution to track the lead mitigation lifecycle.
Shervin Khazaeli, Ph.D.
Shervin is a data analytics developer and the lead data scientist for leadCAST Predict with a Ph.D. in artificial intelligence (AI) focusing on probabilistic decision-making. Shervin uses over 50 parameters in the leadCAST Predict model to optimize accuracy. He applies data science and statistical techniques to prepare, clean, and improve existing data to support optimal modeling.