Summary
Patrick Cullinane is a data science leader with nine years of experience applying machine learning, NLP, and optimization to anti-financial crime and cloud-native systems, currently serving as VP Data Scientist for AFC Modeling at Deutsche Bank. He combines strong engineering skills in Python, PySpark, PostgreSQL, C, and Bash with an MBA and an MS in Data Science to bridge technical implementation and business strategy. Prior roles at PwC and IBM focused on productionizing AML models and statistical analytics, while earlier careers in construction project management and as a Marine officer contribute to his operational rigor and risk-aware mindset. He is particularly interested in topic modeling and scalable NLP pipelines for compliance use cases, bringing practical experience shipping models into regulated environments. Based in New York, he maintains a public GitHub for code provenance and reproducibility, reflecting a commitment to transparent, audit-ready work.
9 years of coding experience
9 years of employment as a software developer
B.S. Biology, B.S. Biology at Norwich University
Master of Science - MS Data Science, Master of Science - MS Data Science at Stevens Institute of Technology
Master of Business Administration (M.B.A.) MBA, Master of Business Administration (M.B.A.) MBA at Fordham Gabelli School of Business