Bachelor of Science in Computer Science

2021 - Present

• Completed coursework in data structures, algorithms, software engineering, probability theory, statistical inference, and linear algebra.
• Engaged in collaborative projects focusing on machine learning applications and statistical data analysis.
• Maintained a strong academic record throughout the program.

Skilled in front-end development, I design and develop visually engaging, high-performance websites with user-friendly, responsive layouts. Proficient in HTML, CSS, and JavaScript, I create interactive user interfaces and effectively troubleshoot technical issues to ensure optimal website performance and enhance the overall user experience.

Developed an advanced machine learning model to detect fake news articles using a combination of natural language processing and deep learning techniques. Implemented a custom text cleaning pipeline that removes HTML tags, special characters, and stopwords while preserving important linguistic features. Utilized TF-IDF vectorization to convert text into numerical features and incorporated a novel excessive punctuation ratio metric to enhance detection accuracy. Built a neural network using TensorFlow with multiple dense layers and dropout regularization to prevent overfitting. The model achieved high accuracy in distinguishing between real and fake news articles, providing confidence scores for its predictions. The project demonstrates expertise in data preprocessing, feature engineering, and deep learning model development.

Developed a house price forecasting model using Python and Scikit-Learn's Gradient Boosting Regressor, achieving a Mean Absolute Error of $33,429.72. Utilized Pandas for data cleaning and feature engineering, including price change calculations and StandardScaler normalization to capture market trends. Created a conservative growth algorithm with dynamic decay factors and sanity checks for reliable long-term predictions. Integrated Neon PostgreSQL for efficient data management and a robust backend handling real-time queries. Employed Matplotlib to visualize historical data and future price projections, enhancing result interpretation and presentation.

Designed and built a personal portfolio website using HTML, CSS, and JavaScript to effectively showcase projects and skills. Implemented responsive design principles to ensure consistent performance and appearance across various devices and browsers. Incorporated interactive elements such as animations and hover effects to enhance user engagement and website appeal.