Enthusiastic and dedicated 6th semester Computer Science student with strong skills in Data Science, Machine Learning, and Python. Passionate about solving real-world problems using data-driven approaches. Eager to gain hands-on experience through an internship and contribute to impactful projects while continuing to grow professionally.
Performed data preprocessing, exploratory data analysis (EDA), and feature engineering on the Titanic dataset. Applied classification models to predict passenger survival. Evaluated model performance using confusion matrix, accuracy, and other metrics in Python (Pandas, Matplotlib, Scikit-learn).
Built a stock prediction model using historical stock data. Performed data preprocessing, feature extraction, and implemented regression algorithms. Visualized trends and evaluated performance metrics. Tools used: Python, Pandas, Matplotlib, Scikit-learn
Developed a full-stack food delivery website using MongoDB, Express.js, React, and Node.js. Implemented features like user authentication, menu browsing, cart, and order placement. Integrated RESTful APIs for real-time data handling and responsive UI with React and Bootstrap.
Python