Summary
Hadi Aghazadeh is a Senior Data Scientist and PhD candidate in Artificial Intelligence in Supply Chain at the University of Calgary with six years of industry experience applying ML to operational problems. He currently builds forecasting pipelines and leads MLOps initiatives at Enverus, after roles developing generative AI and production ML systems at Bits In Glass, AltaML, Snappbox, and PARSA. His background blends hands-on model development, deployment, and cross-functional integration—translating complex supply-chain and logistics problems into scalable, data-driven solutions. Comfortable moving models from prototype to production, he pairs academic rigor with practical impact and a track record in on-demand delivery and cash logistics domains. A less obvious strength is his repeated role in bridging research-grade methods with business processes, enabling measurable operational efficiency gains.
6 years of coding experience
7 years of employment as a software developer
Amirkabir University of Technology
Bachelor of engineering, industrial engineering, Bachelor of engineering, industrial engineering at Iran University of Science and Technology
Doctor of Philosophy - PhD, Artificial Intelligence in Supply Chain, Doctor of Philosophy - PhD, Artificial Intelligence in Supply Chain at University of Calgary
English, Turkish, Persian, Azerbaijani