Summary
Chris Dailey is a Senior Data Scientist with 12 years of experience applying large-scale machine learning, statistical analysis, and high-volume data storage to government and defense challenges. He has led and built data science teams and systems from the ground up across consulting and industry roles, and currently applies that expertise at Booz Allen Hamilton. A UC Berkeley Information and Data Science master's graduate and US Naval Academy computer science alumnus, he combines rigorous academic training with operational experience from multiple Navy leadership and strike roles. Notably, he has translated mission workflows into reproducible analytics and predictive ensembles (e.g., GRADM) to improve fairness, efficiency, and tasking forecasts in real-world settings. Known for integrating visualization and engineering practices, he thrives at the intersection of analytics, systems design, and operational impact in the National Capital Region.
12 years of coding experience
8 years of employment as a software developer
Master's degree, Information and Data Science, Master's degree, Information and Data Science at University of California, Berkeley
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at United States Naval Academy
English, Japanese