Data Scientist2018 - 2019Widget Brain
Technologies: or-tools, Node.js, Jupyter, PyTorch, Python
- Led retail projects including demographic-based demand forecasting for a large supermarket, roster optimization for a large Australian cosmetics chain, and theatre attendance forecasting for a large Australian cinema company.
- Delivered predictive maintenance models for a large shipping OEM, allowing a 66% reduction in sensors.
- Implemented deep learning extensions (such as LSTMs) to the existing demand forecasting product.
- Built production flows using NodeRed and deployed models using AWS serverless code tools.
Research Officer2016 - 2018Australian National University
Technologies: Jupyter Notebook, PyTorch
- Built NLP machine learning models to predict the likely severity of identity theft case reports. Research officer on Australia's first large-scale study on identity theft.