A recent graduate with a strong foundation in economics, finance, and data analysis. Passionate about applying economic theories and analytical techniques to solve real-world problems. Seeking an entry-level opportunity to contribute to research, policy analysis, or business strategy while continuously enhancing my skills and professional growth within a dynamic organization.
• Breast Cancer Prediction (2023): The main objective of this project is to predict and diagnosis breast cancer, using machine-learning algorithms, and find out the most effective whit respect to confusion matrix, accuracy and precision. It is observed that random forest outperformed all other classifiers and achieved the highest accuracy (97.2%) .All the work is done in the Anaconda environment based on python programming language and Scikit-learn library.
• Weather Forecast Application (2024): Developed a Weather Forecast Application using HTML, Tailwind CSS, and JavaScript, featuring real-time weather updates and a responsive design. The application fetches weather data dynamically from an external API, allowing users to search for weather by location, view current conditions, and access a 5-day forecast. With its intuitive interface and seamless functionality, the app delivers a user-centric experience optimized for all devices.