Summary
John Mccool is a data-driven Portfolio and Strategy Analyst with nine years of experience applying statistical analysis and machine learning to banking, lending, and market research. Currently at PNC, he focuses on optimizing auto loan portfolios—improving risk-adjusted returns, predicting delinquency and charge-offs, and mitigating fraud—while translating complex models into actionable dashboards for stakeholders. His background spans quantitative market research, cryptocurrency risk forecasting, and academic statistical programming, reflecting a blend of applied statistics and domain versatility. A University of Pittsburgh graduate in Environmental Science with a minor in Applied Statistics, he pairs a nontraditional quantitative foundation with strong project management and cross-functional communication skills. Notably, he has translated field research and sports analytics work into practical data products, demonstrating an uncommon ability to move from exploratory science to business impact.
8 years of coding experience
1 year of employment as a software developer
Undecided Computer Science, Undecided Computer Science at Allegheny College
B.S. Environmental Science, B.S. Environmental Science at University of Pittsburgh
Spanish