Projects

A real-time performance dashboard for SEND (Special Educational Needs and Disabilities) schools that transforms how educators track progress, celebrate achievements, and identify support needs. This platform brings personalized, data-driven insights to special education, enhancing student motivation and educational outcomes.

A fine-tuned language model built on facebook/opt-350m optimized for dialogue-style Q&A on political and philosophical topics. The model was trained on a custom dataset of question-answer pairs focusing on Marxist theory, history, and related political contexts.

A Python-based recommendation engine that suggests movies based on user preferences using collaborative filtering and machine learning algorithms.

A beautifully designed Todo app that showcases fundamental programming paradigms. Building a Todo application demonstrates core principles of state management, user interactions, and data persistence that are essential for any developer to master.

Churn Owl is an interactive machine learning web app that predicts customer churn for subscription-based businesses. Built with Python, scikit-learn, and Streamlit, it empowers business users to identify at-risk customers and take proactive retention actions. Key Features: - Real-time churn probability predictions based on customer demographics and service usage - Intuitive, modern web interface for easy data input and instant results - Visualizations of feature importance and model performance metrics - Actionable recommendations to reduce churn risk.