
Accomplished Machine Learning Project Developer at Academic Project, proficient in Python and machine learning, renowned for pioneering gesture recognition systems. Expertise in web development and problem-solving, utilizing self-directed learning to propel project success and boost system efficiency by 20%.
Utilized Python and machine learning to create a hand gesture recognition system.
Applied computer vision libraries for effective real-time gesture detection and classification.
Conducted rigorous model training and testing to boost accuracy and efficiency.
Gained hands-on experience with ML concepts, data preprocessing, and evaluation techniques.
Designed and developed full-stack e-commerce website utilizing HTML, CSS, JavaScript, and backend technologies.
Implemented user authentication, product listings, cart functionalities, and order management systems.
Integrated databases and RESTful APIs to facilitate efficient data handling.
Acquired hands-on experience in full-stack development, debugging processes, and deployment practices.