I’m a quick learner with a strong work ethic, and I am confident in my ability to adapt to new environments and contribute effectively to a team. My passion for Embedded software Engineer drives my commitment to continuous learning a professional development
Machine learning - Rainfall prediction
Project Description :Developed a machine learning model to predict rainfall using historical weather data. The project involved data collection, preprocessing, feature engineering, and model selection. Implemented various algorithms including linear regression, decision trees, and neural networks. Evaluated model performance using metrics such as MAE, RMSE, and R². Achieved significant accuracy improvements over traditional prediction methods.
C - Restaurant management
Project Description: Developed a C-based console application to streamline restaurant operations. The system includes user authentication, categorized menu display, order processing, table reservation, and customer feedback collection, enhancing overall efficiency and customer experience.
Features: Secure user access with signup and login, categorized menu display (Starters, Main Course, Drinks, and Desserts), order processing, table reservations, and feedback collection.