Responsible and motivated student ready to apply education in the workplace. Offers good technical abilities with software and applications, ability to handle challenging work, and excellent time management skills. Seeking entry-level opportunities to enhance abilities while contributing to company growth.
EEG Based Adaptive Music Genre Recommendation System
Developed a novel adaptive recommendation system to personalize music suggestions in real-time based on the user's emotional and cognitive state, interpreted from EEG Brainwave data.
Neural signal processing - M. Tech thesis
Investigating and developing advanced algorithms to enhance the reliability of neural signal analysis, with a primary focus on the robust detection of high-frequency gamma bursts that are critical for understanding cognitive processes, and working on artifact removal to identify and eliminate common contaminants from EEG/MEG data