
A dedicated software engineering fresher with a strong foundation in programming and software development concepts. Seeking an entry-level opportunity to apply technical skills and contribute to organizational goals while continuously learning.
Built a flight delay prediction system using machine learning models like Random Forest and LSTM. Achieved 90.2% accuracy by using real-time aviation data such as weather, schedule, and airport traffic.
Developed a stroke prediction system using XGBoost and Random Forest with 96% accuracy. Created a web interface using HTML, CSS, and Flask to display stroke risk based on user health data.
This project is about building a Python shopping cart system for an e-commerce platform using classes, objects, and operator overloading.