Highly motivated Data Science student with a robust background in mathematics, statistics, and computer science. Proficient in Machine Learning using Python, with hands-on experience in building predictive models and analyzing large datasets using tools like Google Colab. Skilled in Full-Stack, creating dynamic applications with Python, HTML, CSS, and MySQL. Strong expertise in predictive analytics projects, showcasing the ability to deliver impactful solutions.
Developed an E-Commerce GYM Equipment shop Website using HTML, CSS, JavaScript, and MySQL, streamlining buying and selling with a seamless user experience and efficient backend operations.
Developed a responsive e-commerce website for gym equipment with HTML, CSS, and JavaScript for the frontend and PHP and MySQL for the backend. Implemented seller dashboards, buyer browsing, and secure user authentication, showcasing full-stack development skills.
Developed a classification model to predict whether breast cancer is benign or malignant using Python, Scikit-learn, and Pandas. Achieved an accuracy of 96.94% with a derivation of 2.42 through effective data preprocessing and feature engineering. Gained hands-on experience in data visualization, model evaluation, and classification algorithms.
GPA: 7.90