I'm currently a postgraduate student of Data Science at The University of Birmingham (84th in the QS World Ranking'24) on track of a First-Class Master's Degree. For dissertation, I'm building a recommendation engine using deep learning techniques along with collaborative-filtering and user-item implicit feedback, to enhance the quality, relavance and impact of the recommendation that are generated.
I'm also a Data Science Intern at Legal Pythia, an early-stage AI startup that helps in document analysis, fraud detection for clients within the financial, and legal sector. I ensure the highest quality of data that will result in a great model, and great analysis. Leveraging Explainable AI, we succesfully analyse complex, sensitive data which enhances the trust factor between the user and the model decision-making.
Previously,I have been a software engineer for aroud 1.5 years, with extensive experience in Angular, REST APIs and front-end development, at a fast-growing AI startup, where I contributed to client projects, ensuring the highest quality of deliverable.