Selected Projects
Student Performance Prediction
Developed a predictive machine learning model using Linear Regression to analyse student performance based on a Kaggle dataset with 15 different features, including study time, absences, and parental support.
Built with Python, Jupyter Notebook, Pandas, Scikit-learn, and Matplotlib to analyse and visualise data, ensuring accurate predictions and insights.
"Great things are done by a series of small things brought together" - Vincent Van Gogh
My Work Experience
Freelance
Freelance Developer -- Sept 2023 - Present
Delivered various web projects for clients using HTML, CSS, JavaScript, React, and Next.js. Specialised in front-end development, responsive design, and modern web technologies, ensuring high-quality solutions tailored to client needs.
Carbon XYZ
Full Stack Developer -- Feb 2023 - Sept 2023
Built an NFT Marketplace for minting and auctioning NFTs using Next.js, MongoDB, and TailwindCSS. Integrated WEB3 with Alchemy, Ethers.js, and IPFS. Implemented MetaMask authentication, NFT minting, and real-time updates for admins and users.
Kid's Galaxy
Full Stack Developer Intern -- Nov 2022 - Feb 2023
Developed an educational booking system where tutors manage availability and students book slots. Built with Next.js, MongoDB, and TailwindCSS. Implemented authentication, scheduling, real-time updates, and database optimisation. Ensured security and collaborated with designers for a seamless UI.
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