Recent Cognitive Science graduate with research experience in visual perception, memory, and human-AI comparisons. Skilled in experimental design, data analysis, and programming (Python, MATLAB), with hands-on work in psychophysics and computational modeling. Experienced in leading projects, collaborating across teams, and clearly communicating research findings. Looking to pursue a PhD in Cognitive Neuroscience to explore the neural basis of perception, learning, and decision-making.
Blood Cell Image Classification Model
Trained a CNN to classify blood cell images into categories using Python and TensorFlow. Applied data preprocessing, augmentation, and model evaluation techniques.
Sleep Classification from Heart Rate Model
Built a machine learning model to classify sleep stages (light, deep, REM) from heart rate data. Used feature extraction and supervised learning with Python, scikit-learn, and TensorFlow.