Trade & Ahead – Unsupervised Learning August 2024., Profiled cluster characteristics that reveal actionable market insights., Scrutinised stock market data to distinguish different investment groups., Implemented K-means and hierarchical clustering algorithms for analysis., Provided a data-driven stock classification system that enables portfolio diversification strategies based on comprehensive attribute analysis., EasyVisa – Ensemble Techniques June 2024., Implemented advanced ensemble techniques, including XGBoost., Established a visa approval prediction model with over 90% accuracy., Delivered a complete applicant profiling framework enabling immigration officers to make informed decisions based on statistical probability of success., ReCell – Supervised Learning, Foundations May 2024., Developed a pricing model for the marketplace of used electronic devices., Created a dynamic pricing strategy framework enabling a 16% price adjustment while ensuring a competitive market position based on device condition data., RAG-based Medical Assistant Feb 2025., The project focuses on building a Retrieval-Augmented Generation (RAG)-based AI solution to help healthcare professionals overcome challenges like information overload, slow diagnosis, and access to trusted medical knowledge. Using renowned medical manuals as a knowledge base, this system will provide quick, accurate, and reliable information, improving patient outcomes and enabling faster, informed decision-making., Streamlining Auto Vehicle Pricing through MLOps March 2025., The project aims to design and implement an MLOps pipeline for an automobile dealership in Las Vegas to automate vehicle pricing workflows. This system will streamline manual processes by integrating data-driven pricing, ensuring consistent model performance, and enabling scalability. The pipeline will handle data preprocessing, model training, evaluation, and deployment with CI/CD capabilities, enhancing pricing accuracy, operational efficiency, and customer satisfaction.