Taban Fami Tafreshi

• Participated in hands-on data science projects and real-world case studies • Completed a Kaggle project: House Prices: Advanced Regression Techniques, focusing on building machine learning models for predicting housing prices Link to Kaggle Project • Gained experience with Python libraries and implementing machine learning algorithms • Additional coursework covered deep learning, R programming, MySQL database setup, and advanced SQL queries.

Activities: • Designed and developed neurofeedback devices, leveraging data science techniques for signal processing and analysis. • Applied machine learning and deep learning algorithms to enhance device performance and user experience. • Managed project documentation practices, ensuring clarity and compliance throughout the development lifecycle. • Collaborated with interdisciplinary teams, driving data-driven decisions and innovation in product design.