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I’m an aspiring data scientist based in Brighton. I recently graduated with first-class honours in Computer Science from Goldsmiths, University of London. I’m passionate about harnessing the power of data science and machine learning to drive social change. My passion project, “If You Care To Know,” is dedicated to shedding light on critical social issues through data-driven insights. Our mission is to inspire awareness, understanding, and positive action by leveraging the potential of data.

I enjoy collaborating with like-minded individuals, exploring innovative technologies, and creating impactful solutions. Interested in collaborating or having a conversation? Feel free to reach out!

Projects

If You Care To Know

If You Care To Know is a platform dedicated to exploring societal issues through data science. By analysing complex data and presenting it in clear, engaging narratives, the site aims to spark meaningful conversations and advocate for positive change. Each project highlights important insights and offers actionable solutions to promote a better understanding of the world around us.

EventPlanner

EventPlanner is a dynamic web application designed to simplify event management for users. With secure user registration, login, and password hashing, EventPlanner ensures that user data is protected. Key features include the ability to create, search, and manage events, as well as integrated weather data through an API. Users can easily look up and delete their own events, and access all event data via a JSON API. The application uses a robust tech stack, including Node.js, Express, MySQL, and BCrypt, to deliver a seamless and secure user experience.

Gold Food Finder

Gold Food Finder is a web application developed as part of a second-year Computing project. The platform helps users with specific dietary preferences—such as allergies, religious, or ethical needs—find restaurants that cater to their requirements. Built with ExpressJS, HTML, CSS, and MongoDB, the site offers a user-friendly interface for searching and filtering restaurants based on various criteria. The project aims to provide a simple and accessible way for users to make informed dining decisions, with a focus on inclusivity and ease of use.