AWE-funded internship at the South West Nuclear Hub research facility, collaborating with industry and academic institutions to deliver an enhanced AI and ML system to process large data volumes• Comprehensive data analysis to process spectroscopic information, using powerful Python libraries Pandas, SciPy and Matplotlib for efficient pattern recognition and visualisation• Utilised supervised and unsupervised machine learning techniques via Scikit-Learn for anomaly detection and data assimilation• Development of machine learning model to integrate weather data with existing radiation activity measurements, enhancing UK radiological security by improving detection sensitivity and analysis efficiency

• Worked closely with the Technical Director in the execution of a Biopolymer Research Project - initiated meetings with leading research Universities and independently conducted tests on over 100 material samples• Extensively developed reproducible Python code to analyse data produced in Biopolymer testing, and summarised findings into concise report for CEO and technical director• Leading role in the ongoing development of an industrial Cartesian pellet 3D printer with focus on the design and procurement of custom 3D printed components• Compiled bills of material to evaluate project costs, leveraging industry experience to identify cost - effective manufacturers• Redesigned existing 6 - axis KUKA Robot Arm printer bed, designing a more robust and level substructure to optimise the quality of prints