Summary
Alex Booth is a Machine Learning Engineer with 10 years of experience building data-driven systems and BI ecosystems that scale across large enterprises. At Northrop Grumman he led company-wide analytics initiatives—designing data models, Tableau dashboards, and Airflow/GitLab ETL pipelines—that cut report turnaround by 85% and unlocked over $170M in savings. He pairs deep learning and predictive modeling skills with practical engineering: CI/CD optimization, Monte Carlo and linear regression forecasting, and SQL data warehouse design that directly won multimillion-dollar contracts. Trained in physics and materials engineering, Alex brings a systems mindset from hardware integration to production ML, often translating complex manufacturing and staffing data into actionable forecasts. Based in Orlando, he blends hands-on implementation with governance and orchestration focus, making analytics accessible and operational across teams.
10 years of coding experience
6 years of employment as a software developer
BS, Physics, BS, Physics at Pepperdine University
MS, Materials Engineering, MS, Materials Engineering at California State University, Northridge
German, Armenian