Samuel Heim

Samuel Heim is an Aircraft Data Engineer and Data Scientist with experience in predictive maintenance, fleet management operations, reliability, and maintainability model development using statistical and machine learning methods. With a background in aerospace engineering, Samuel has worked in various research projects and roles at NASA, Textron Aviation, AVX Aircraft Company, and other institutions. Samuel specializes in feature engineering, deep artificial neural network development, and data engineering for model development. Samuel also has experience in using Hadoop clusters with Spark for predictive maintenance integration and conducting research projects involving solar panels and X-ray CT scanning.