Health Data Science MSc @ UCL • BSc Data Science (1st) @ Exeter
I’m a data and AI enthusiast focused on healthcare. I build practical, data‑driven solutions—from machine learning to RAG systems—to improve outcomes and experience.
Modules include: Dissertation in Health Data Science, Advanced Machine Learning for Healthcare, Applied Computational Genomics, Advanced Methods in Data Science and Statistics.
Dissertation: Designed a Retrieval‑Augmented Generation system for querying clinical guidelines.
Modules include: Machine Learning and AI, Software Development, Statistical Modelling and Inference, Stochastic Processes, Nature‑Inspired Computation.
Dissertation: Using Large Language Models to match RFQs to suppliers in a B2B procurement platform.
Explores LLM embeddings and similarity metrics to match RFQs to suppliers in B2B procurement. Achieved strong real‑world performance and compared open vs closed models.
Investigated Bayesian NNs using MCMC and Variational Inference to quantify model parameter uncertainty and compare approaches.
Built NLP models to classify tweets about real disasters, with a fine‑tuned LLM placing in the top 10% of the leaderboard.
Implemented ACO variants (standard, MMAS, Elitist) including pheromone updates and path generation to solve TSP.
Real‑time data processing pipeline consuming Reddit streams to demonstrate scalable analysis with Apache Spark.
Building a Retrieval‑Augmented Generation system to answer medical queries with sourced guideline responses. Private during assessment.
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