Mehdi Ghotboddini

Founded and scaled a company-wide AI, GenAI, and analytics function, delivering four production AI applications that achieved $1M+ annual savings and secured $1.37M in competitive funding. Built and led a multidisciplinary team of 20+ and implemented organizational AI governance and secure cloud migrations to improve data access and reduce analysis turnaround by 40%.

Delivered 14 course sections in Management Information Systems and Technology & Operations Management, incorporating industry trends and practical analytics, simulation, and operations content to prepare students for applied roles.

Provided volunteer teaching and research support in Health Information Science and supervised student research projects to advance academic and applied analytics work.

Led advanced modeling and analytics initiatives, directing product lifecycle and deployment of predictive and optimization solutions across clinical and operational domains to improve patient outcomes and operational efficiency. Recruited and mentored cross-functional teams and secured funding to scale cloud-based AI projects.

Co-led migration of enterprise data platforms to secure cloud environments and implemented DevOps automation to shorten release cycles from weeks to days while reducing manual errors. Enabled near real-time data access and improved integration across clinical systems.

Transformed the data analytics function into an agile, high-performing team and directed 25+ advanced analytics projects applying predictive modeling and optimization to reduce wait times and optimize resource allocation. Established governance and delivered actionable analytics roadmaps to clinical programs.

Provided senior analytics leadership supporting clinical and operational stakeholders, developing metrics and forecasts that improved decision-making and reduced data inconsistencies by 30%. Communicated insights to executive leaders to drive continuous improvement.

Introduced standardized KPIs and executive dashboards and applied advanced analytics and simulation to multi-source healthcare datasets, improving visibility into operational performance and enabling earlier intervention on bottlenecks.

Completed a PhD in Operations & Information Management with research focused on operations research and information-driven decision making.

Earned a Master of Science in Operations Research with emphasis on mathematical modeling.

Completed a Bachelor of Science in Industrial Engineering covering manufacturing, systems design, and optimization.