RICHARD ROBIN

Highly motivated and detailed-oriented candidate passionate about using data to improve business performance and customer experience. Skilled at leveraging data to develop actionable solutions to business challenges and utilizing data mining and data visualization to create meaningful insights. Excellent technical aptitude and knowledge of programming languages, data analytics and data visualization.

• Ultimate Full Stack Developer - Udemy
• What is Data Science - Coursera and IBM
• Computer Networks - Reva University

Human Activity Recognition:

• Developed a human activity recognition system using machine learning techniques to analyze and classify various human activities.
• Implemented feature extraction, model training, and evaluation using datasets from accelerometers and gyroscopes.
• Designed and executed experiments to validate model performance and optimize parameters for improved results.
• Presented findings and technical details in a comprehensive report and oral presentation to peers and faculty.

E-commerce Web Application:

• Designed and developed a comprehensive e-commerce platform featuring user authentication, product management, and a secure checkout process.
• Implemented a responsive user interface with React.js, ensuring a seamless shopping experience across devices.
• Utilized Node.js and Express.js for the backend, creating RESTful APIs for product listings, user management, and order processing.
• Integrated MongoDB for data storage, managing user accounts, product details, and transaction records.
• Incorporated Stripe API for secure payment processing and handling transactions.
• Implemented state management with Redux for efficient data flow and user experience enhancement.

Youtube React Clone: 

• Developed a clone of YouTube using React.js to simulate a video streaming platform with features such as video playback, search functionality, and user interface similar to the original YouTube.