Consulted for both private and public organisations across a wide range of data-related problems including:• Building a customer propensity model using semi-supervised learning• Creating a city-wide water consumption forecast • Using machine learning to automatically assign owners to electricity-network alarms• Developing a public facing Power BI dashboard for the NZ Banking Ombudsman• Researching a proof-of-concept image recognition model for automatically identifying sewer faults• Forecasting hospital demand based on future cases of illnesses to assist with healthcare planning• Optimising battery charging schedules based on grid demand and solar panel activity

Tutored students as part of weekly lab sessions for ENGGEN 131 (Introduction to Engineering Computation and Software Development) and ENGSCI 111 and ENGSCI 211 clinics (Mathematical Modelling). Performed assignment marking for ENGSCI 311 (Mathematical Modelling).

Created machine learning models to predict customer subscription churn. Performed exploratory analysis into user behaviour and developed visualisations to generate business insights. Researched ways to automate user progression tracking and lesson difficulty.

Developed a Python-based 2D electrostatic particle-in-cell plasma simulation code. Built with the eventual purpose of analysing a small electrothermal plasma thruster under development at the Australian National University. Runner-up at the Faculty of Engineering's Summer Scholarship poster competition.