Developed and deployed ML systems to predict the prices of boats. This information added value to the business by giving our sales teams price estimates when negotiating to buy boats in a new company initiativeProvided data analysis of sales, listings, portal metrics and customer behaviour to a range of stakeholders including C level executives

Participated in highly competitive 8 week conversion course aimed at STEM students transitioning into data science.Attended lectures on all aspects of machine learning, commercial and teamwork skills. Further developed Python and SQL skills along with data visualisation and presentations.Spent 6 weeks working with Boats Group to develop a price estimation tool to value boats advertised on their platform(s).

Performed research in lensless imaging using XUV lasers. Programmed a wide range of simulations and algorithms to benchmark and process noisy experimental results.Made weekly presentations to my group and presented my results internationally to a diverse range of audiences. Facilitated collaborations between my own and other groups where I mentored visiting students both inside and outside the lab.Software experience: MATLAB, Python, SQL, LabView, AutoDesk (CAD), LaTeX, InkScape.