A 🇲🇾 Software Engineering graduate and aspiring full-stack developer with a growing interest in AI and data science. A quick learner, effective communicator, and collaborative team player with a passion for building smart, user-friendly solutions. Currently pursuing a Master's in Data Science while enjoying FPS gaming as a hobby.
Developed using Natural Language Processing techniques to automatically generate concise summaries from large text documents. Implemented using Python, NLTK, and machine learning algorithms to improve content accessibility and save reading time.
Full-stack web application built with modern technologies to track inventory, manage stock levels, and generate reports. Features real-time updates, user authentication, and responsive design for efficient business operations.
Machine learning project using Naïve Bayes Algorithm to predict flight delays based on historical data. Analyzed weather patterns, airport congestion, and seasonal trends to achieve high prediction accuracy for airline operations.
Predict Valorant Master Toronto's champion using XGBoost. Successfully predicted Paper Rex victory over Fnatic in the Masters Toronto Final with high accuracy through comprehensive team performance analysis, player statistics, and historical match data.