Summary
Mehdi Garrousian is a data scientist with nine years of experience applying technology and applied mathematics to deliver practical AI solutions that drive measurable business impact. He combines classical modeling, graph analytics, optimization, and generative AI to tackle complex problems and translate results into actionable outcomes. Based in Old Toronto, he focuses on marrying human insight with intelligent systems to create solutions that are both technically robust and operationally relevant. Mehdi’s background emphasizes pragmatic deployment—turning prototypes into measurable production value rather than purely theoretical work. He brings a leader’s perspective to projects, guiding cross-functional teams to align models with business metrics. Outside core modeling, he has a knack for finding structural patterns in data that reveal non-obvious levers for optimization.
9 years of coding experience
Western University
English, Persian, Spanish, German