The Women's World Banking Team

Mehrdad “Mehi” Mirpourian

Data Science Manager

Bio

In his role as Data Science and Research Manager at Women’s World Banking, Mehi directs the application of machine learning and AI to create groundbreaking financial products. His work spans key areas like building fair credit models, integrating alternative data (e.g., natural disaster data) into credit assessments, and developing automated financial advisors. Beyond this, he also oversees impactful research projects, including those with qualitative or mixed-method components, policy evaluations, assessments of new financial technologies, and mentorship initiatives.

Mehi holds an MS in Statistics (Baruch College), an MS in Management Engineering (Polytechnic University of Milan), and a BS in Industrial Engineering and Optimization (K.N. Toosi University of Technology). In addition, he began pursuing a Master’s in Data Science and AI at NYU’s Center for Data Science in September 2024, where, besides coursework, he is engaged in research and studies using LLMs.