Python Student Association Member

Association Membership #

Active member of Python Student Association at Math House of Isfahan, focusing on machine learning projects and implementation of classical algorithms for real-world applications.

Key Projects & Achievements #

• English Alphabet Recognition: Developed computer vision system for letter recognition using machine learning techniques
• Manhattan Bridge Pedestrian Flow Analysis: Created predictive model analyzing pedestrian traffic patterns on Manhattan bridges
• Algorithm Implementations: Built various machine learning models from scratch including linear regression and decision trees
• Data Analysis Projects: Performed comprehensive data analysis and predictive modeling for multiple research projects

Technologies & Tools #

• Machine Learning: Linear regression, decision trees, and pattern recognition systems
• Computer Vision: Image processing and recognition for alphabet classification
• Data Science: Data analysis, statistical modeling, and predictive analytics
• Python: Scientific computing and machine learning libraries

Impact & Learning #

Gained foundational experience in machine learning and data science through hands-on project development and practical application of theoretical concepts.