Summary
Norayr Matevosyan is a data science leader with over 10 years of experience delivering AI-driven reliability solutions in the utilities sector. As Data Science Senior Manager at ComEd since 2020, he steers end-to-end ML initiatives, including predicting transformer failures from 120 billion AMI rows and fault prediction for underground cables. He has built and integrated ML and analytics suites with tools like R, H2O, and QlikView, enabling actionable visual data analysis for historical outages. His career blends deep mathematical training (PhD in Mathematics from KTH) with extensive academic roles at UT Austin, Cambridge, and Vienna, reflecting a rigorous, research-driven approach to applied data science. Based in Chicago, he translates complex models into practical, auditable solutions that improve grid resilience and asset health management.
11 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (PhD), Mathematics, Doctor of Philosophy (PhD), Mathematics at KTH Royal Institute of Technology
Bachelor of Science (BSc), Mathematics, Bachelor of Science (BSc), Mathematics at Yerevan State University
english, russian, armenian