Mohammad Khodabandeh is a Business Data Analyst with eight years' experience applying data science, machine learning, and process modeling to telecom fraud management and revenue assurance at scale. Working on MCI's FMRA project, he analyzes millions of daily operational and revenue records, develops automated analytical workflows, and translates complex signals into actionable business intelligence. His background in industrial engineering (healthcare systems) and hands-on AI research gives him a rare blend of domain-driven modeling and cutting-edge ML techniques, including deep learning for anomaly detection. Mohammad has co-founded an AI/ML education startup, taught multiple university courses as a TA, and helped implement ISO-aligned ISMS projects—demonstrating both technical depth and operational rigor. Known for creativity, strong cross-functional collaboration, and a preference for automating repetitive analysis, he focuses on measurable impact across Finance, Sales, and IT. Based in Tehran, he combines academic research experience with pragmatic, production-oriented analytics to improve nationwide telecom operations.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Engineering - BE Industrial Engineering, Bachelor of Engineering - BE Industrial Engineering at Kharazmi University
Amirkabir University of Technology
High School Diploma Mathematics, High School Diploma Mathematics at National Organization for Development of Exceptional Talents (Sampad)
Contributions:3 PRs, 59 pushes, 2 branches in 11 months
pushserverlessaws-lambdaschedulersimulator
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.