
Built a machine learning model that detects network attacks using Random Forest Classification on KDD99 data with 99% accuracy, improving from a previous 33% accurate model.

Built a network packet sniffer using protocol parsing to analyse network traffic, detecting anomalies and revealing any potential security vulnerabilities.

Developed a full-stack social media website about reviewing locations using Next.js and Prisma ORM, implementing database schemas, server-side logic, and a responsive UI.

Compared the accuracy of two supervised learning models, Support Vector Classifier and Random Forest, using features such as closing price, 7-day SMA and 30-day volatility.
Designed and built a website, collaborated with a professional Java developer to create a custom plug-in based on the anime Attack on Titan, implementing swing-motion ODM gear and handled backend development. Managed a team, finances and advertising on social media.
Collaborated on a bribery case study, interviewing clients and presenting findings to a CEO. Shadowed senior lawyers and finance professionals, aided in data organization and analysis using Excel and Invited back to shadow the finance department after internship completion