Mike R.

Mike R. is a skilled Data Scientist with extensive experience in developing advanced machine learning models for threat detection and employee retention analysis. At NT Concepts, Mike R. built an LSTM Neural Network to identify Radio Frequency signals and created a Multi-Class Logistic Regression model combined with an Autoencoder for anomaly detection. Prior experience includes a role at the United States Department of Defense, where Mike R. led the creation of statistical models to predict employee retention and developed a recommender system for targets of interest. As a Signals/Data Analyst in the United States Army, Mike R. enhanced cybersecurity operations by using distance-based metrics for target association and similarity analysis. Mike R. holds a Master of Science in Data Science from Regis University and a Bachelor of Science in Mathematics and Statistics from American Military University.