Summary
Erfan Sobhaei is a data science and AI-focused researcher and educator with seven years of experience bridging higher education and applied industry roles. Currently a graduate researcher and teaching assistant at Sharif University of Technology, he supports courses from Machine Learning to High-Dimensional Statistics and Deep Learning, reflecting both breadth and depth in modern ML curricula. He holds a BS in Computer Engineering from Kharazmi University and is pursuing an MS in Computer Science, bringing strong foundations in data wrangling, modeling, and practical ML tooling such as Python, NumPy, Pandas, Scikit-learn, and TensorFlow. Past industry roles as a data scientist and analyst gave him hands-on experience turning noisy data into actionable insights in product settings. Colleagues describe him as someone who pairs rigorous academic training with pragmatic implementation, often translating theoretical concepts into classroom-ready examples and research prototypes. He’s quietly building a research-oriented profile that blends teaching, applied ML work, and advancing statistical understanding in high-dimensional problems.
7 years of coding experience
Bachelor of Science - BS, Computer Engineering, Bachelor of Science - BS, Computer Engineering at Kharazmi University
High School Diploma, Physics and Mathematics, High School Diploma, Physics and Mathematics at National Organization for Development of Exceptional Talents (Sampad)
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Sharif University of Technology
English, Persian