Michael Amenson

U.S. Army Sensor Manager with operational experience supporting missile defense, early warning, sensor tracking,
tactical reporting, and technical data collection in CENTCOM and joint/coalition environments. Recognized with an Army
Commendation Medal with “R” Device and Army Achievement Medal with “R” Device for technical performance and mission impact during combat operations. Currently completing a B.S. in Artificial Intelligence with a 3.34 GPA, combining
national-security operations experience with developing skills in data analysis, machine learning, SQL, R, Python, and generative AI.

Army Commendation Medal with "R" Device Achievement during 2025 missile-defense operations, Army Achievement Medal with "R" Device Achievement during Operation Epic Fury, 2026, Sensor Manager Qualification Course (SMQC) Colorado Springs, CO, 2025. Space 100, Infantry One Station Unit Training (OSUT); 14H reclassification training.

• TelCo Customer Churn Analysis | R / Machine Learning
• Analyzed a 1,000-record customer dataset, prepared data for modeling, built and evaluated a logistic regression model using an 80/20 train-test split, interpreted confusion-matrix results, and created data visualizations.
• Coursework also included hands-on exposure to KNN, LDA, QDA, decision trees, random forests, and clustering.
• Relational Database Project | SQL / SQLite / Google Colab
• Designed a relational database with Customers, Orders, and OrderItems tables; implemented primary/foreign keys and integrity constraints; and wrote queries using SELECT, WHERE, JOIN, GROUP BY, and HAVING.
• AI Military Training Assistant | Generative AI / Prompt Engineering
• Designed a capstone concept for an AI-supported military training assistant using zero-shot and few-shot prompting, structured outputs, reasoning approaches, and safety constraints appropriate for an unclassified training environment.