Prof. Isenman is an Adjunct Professor of Data Science at Eastern University, where he teaches at the graduate level. A graduate of Eastern’s master’s program, he returned to support students in connecting rigorous analytical methods with real-world business impact. His professional experience is grounded in the consumer packaged goods industry, where he has built data pipelines, developed predictive models, and operationalized analytics to improve processes and performance.
In his full‑time role as a Data Scientist at Nestlé Purina PetCare, Prof. Isenman leads end‑to‑end data science initiatives—from problem framing and experimentation through deployment and adoption. He works closely with cross‑functional stakeholders, translating business objectives into actionable technical solutions.
MS, Data Science, Eastern University
BS, Data Science | Minor: Business Administration, Maryville University
- DTSC 520L, Fundamentals of Data Science Lab
Prof. Isenman’s research interests focus on how data science and business analytics drive practical organizational improvement. He is particularly interested in the interplay between analytics, decision‑making, and effective stakeholder project management. His interests also include the emerging role of generative AI in personal finance, particularly how intelligent systems can assist individuals with budgeting, planning, and improving their long‑term financial well‑being.