Data Science
Machine Learning
Anomaly Detection
Natural Language Processing
He / Him / His / Himself
Adjunct Instructor
Specialization
Education
MS, Statistics, North Carolina State University
BS, Mathematics, North Carolina State University
BIOGRAPHY
Nicholas Gawron is a Data Scientist at Delphinus Engineering where he develops predictive maintenance models and machine learning tools for mechanical systems. His work involves the processing of unstructured text data, anomaly detection, and time series forecasting to evaluate various maintenance strategies. He collaborates with engineers, and product managers to turn these operational objectives into data-driven solutions. His earlier work includes statistical modeling of student academic performance with the Poole College of Management at North Carolina State Univeristy, as well as climate and agricultural data analysis with the State Climate Office of North Carolina.