- Delivered production ready code suitable for running on home-use medical device, adhering to ISO 62304. - Analysed the performance of Entia's novel medical device, using both data from clinical trials and from data collected by patients using the device in a home-use setting. - Produced visualisations illustrating the performance of the device, which were used in communication with stakeholders and submission for regulatory approval.- Communicated and managed expectations with external stakeholders.- Helped with development of statistical economic health model.- Worked closely with product managers, setting OKRs.

Developed an algorithm to identify types of blood cells in low resolution images, using machine learning techniques.

• Gained commercial experience working in a team of four using agile framework to deliver an automated topic recognition system to Flawless Money, a cryptoasset consultancy firm.• Developed a novel automated method of chunking texts from pdf format using Python. UsedNLP techniques (named entity recognition and topic modelling) in Python using spaCy.

Lead a project to advise land managers on which geographic areas will give the biggest conservation outcome when removing an invasive plant species that spreads via wind-dispersed seeds using data-driven models and a decision analysis framework.• Delivered scripts for automated analysis in Python, using large (30-200Gb) multidimensional netcdf files of weather and landscape data, and built ordinal regression models in R.Made visualisations in R using ggplot2 and in Python using seaborn.• Gained experience in analysis and visualisation of GIS (spatial map) data, using rgdal, raster, sf, sp in R and xESMF in Python.• Collaborated with industry partners and stakeholders, facilitating a workshop in gathering expert opinion data for decision analysis.