Sahar Nasiri

Sahar Nasiri is an accomplished data scientist with extensive experience in engineering analytics and pricing optimization at Delta Air Lines, where project work includes the development of Delta language models and automated routing processes. Previous roles include data scientist positions at the University of Rochester, focusing on textual analysis, research performance modeling, and optimization of high-performance computing resources. Sahar's earlier experience encompasses research predicting Iran's 2017 Presidential Election using social media data, project operational support in technical startups, and contributions to a rescue simulation competition involving algorithm implementation. Academic credentials include a Master of Science in Data Science from the University of Rochester and a Bachelor of Science in Industrial Engineering from Azad University.