Summary
Zahra Majdabadi is a Data Scientist with a decade of experience applying deep learning and NLP to real-world products and research, currently advancing data-driven features at Divar in Tehran. Her background bridges industry and academia—from NLP research and question-answering thesis work at Shahid Beheshti University to production roles at Balad and Miras Technologies—giving her a strong end-to-end perspective on model research, deployment, and product impact. She began her career as a full-stack and backend developer, which helps her translate research prototypes into maintainable systems. Passionate about problem solving, Zahra pairs technical depth with an appreciation for the human side of business problems, often seeking new tools and angles to illuminate long-standing challenges.
10 years of coding experience
5 years of employment as a software developer
Amirkabir University of Technology
Master's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at Shahid Beheshti University
English, Persian