Summary
Ashley Coenen is a Business Analyst and Data Scientist with a PhD in Physics and a decade of experience applying mathematical modeling, statistics, and machine learning to social, economic, and public health problems. Currently at NRG Energy, she translates complex data into operational insights using Python, MATLAB, high-performance computing, and production-ready visualization tools. Her academic work at Georgia Tech produced novel models and inference methods for ecological forecasting and included leading an interdisciplinary NSF-funded computation team while establishing reproducible code review and archiving practices. Comfortable teaching and presenting to both large and small groups, she pairs technical rigor with practical project management and stakeholder collaboration, including pro bono work with NGOs. An avid commuter-by-bicycle, she brings a personal interest in multimodal transit and its societal impacts to her data-driven approach.
9 years of coding experience
Bachelor of Arts - BA, Mathematics, Bachelor of Arts - BA, Mathematics at Lawrence University
Master of Science - MS, Physics, Master of Science - MS, Physics at Georgia Institute of Technology