Patrick Copeland is a data scientist with eight years of analytic and business-facing experience who recently transitioned from an intern to a full-time role at Regions Bank, where he builds production ML/AI solutions using big data tools like Hadoop, Spark, H2O, CDSW and Domino. He combines strong statistical modeling and predictive analytics skills—demonstrated by a high-performing Random Forest time-series classifier with AUCs near 0.9—with practical automation for reproducible pipelines and clear visualizations for business leaders. His background in copywriting and marketing generated over $9M in gross revenue, giving him rare strength in translating technical results into persuasive, revenue-driving narratives. A Georgia Tech MS candidate in Computational Analytics with a BS in Mathematics and Computer Science, he pairs rigorous academic training with cross-functional collaboration. Curious and growth-oriented, Patrick actively keeps pace with AI/ML trends while focusing on delivering measurable improvements in customer engagement and operational efficiency.
8 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Computational Analytics, Master of Science - MS, Computational Analytics at Georgia Institute of Technology
Bachelor of Science - BS, Mathematics and Computer Science, Bachelor of Science - BS, Mathematics and Computer Science at Georgia State University
Airline database creation using PGAdmin for business insights.
Contributions:22 pushes, 1 branch in 19 days
pythonairlinespgadmin4oracle-databasedata-science
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