Summary
Akin Aroge is a planning engineer and data scientist with a decade of experience applying statistical analysis, machine learning, and signal processing to energy systems and operational forecasting. Currently at NYISO, he translates complex time-series and demand patterns into actionable planning insights, building on a PhD in Sustainable Energy Engineering and hands-on fuel cell diagnostics research. His background spans academia and industry—developing automated pipelines that cut analysis times by ~90%, interpretable forecasting models that improved operational metrics, and image-based diagnostics using PCA and CNNs. He pairs deep domain expertise in fuel cell and energy systems with practical deployment experience in Python data pipelines and likelihood/network models. Outside of work he pursues continual mastery (and plays piano), reflecting a blend of disciplined research rigor and creative curiosity.
10 years of coding experience
8 years of employment as a software developer
Master of Science (MSc), Electrical and Electronics Engineering, Master of Science (MSc), Electrical and Electronics Engineering at University of Cape Town
MicroMasters, Statistics and Data Science, MicroMasters, Statistics and Data Science at MITx Courses
Bachelor of Engineering (B.Eng.), Electrical and Electronics Engineering, Bachelor of Engineering (B.Eng.), Electrical and Electronics Engineering at Federal University of Technology Akure
Doctor of Philosophy - PhD, Sustainable Energy Engineering, Doctor of Philosophy - PhD, Sustainable Energy Engineering at Simon Fraser University
English, Yoruba