Ali Esfehani

I am a top-performing Industrial Engineering student at Ferdowsi University of Mashhad, with a strong interest in data analysis, machine learning, and operations research.

I work with Python, Excel, Power BI, and Git. I also have practical experience using Pandas and NumPy for data processing, Scikit-learn for machine learning, and IBM ILOG CPLEX for solving optimization problems.

My experience includes developing a CPLEX-based optimization model for assigning Avid Toos customers to drivers and improving service planning. I also contributed to a research project focused on designing an optimized operational system for the Mashhad Fire Department, where I was responsible for preparing, organizing, and analyzing the project data in Excel. More recently, I have been working on a recommender system for Avid Toos.

I enjoy collaborative work and regularly develop projects with an Industrial Engineering student from Amirkabir University of Technology. I am interested in projects involving data analysis, dashboards, machine learning, recommender systems, mathematical optimization, and decision-support tools. My focus is always on developing clear and practical solutions to real business problems.