Conducted in-depth data analysis during a Machine Learning internship, including dataset importing, data cleaning, handling missing values, and performing statistical analysis. Utilized Python for data science tasks, developed models using linear and polynomial regression, and implemented model evaluation techniques such as R-squared, MSE, and grid search for optimization.

Gained hands-on experience in building responsive web applications using HTML5, CSS, JavaScript, SQL, and Bootstrap. Focused on creating clean, user-friendly interfaces while ensuring cross-browser compatibility and optimal performance. Passionate about web development, turning ideas into functional and visually appealing digital solutions.