With a solid foundation in machine learning and customer service, I am currently advancing football analysis technology as a Research Assistant at Shaw University. My mission is to harness the power of computer vision and deep learning to revolutionize how we understand and enjoy sports. Committed to innovation and excellence, I apply my analytical skills and technical expertise to contribute to projects that align with Shaw's culture of forward-thinking research.In my role, I've implemented state-of-the-art object detection using YOLO and deployed trackers to follow players and markers across frames. My work also involves training custom object detectors, perspective transformation for depth representation, and employing Kmeans clustering for team assignment. Additionally, I've honed my IT skills by managing help desk tickets and resolving a wide range of hardware and software issues, ensuring the smooth operation of our institution's technical infrastructure.