- Presenting research to a range of audiences
- Writing technical reports
- Collaborating with industry to formulate mathematical problems
- Designing and carrying out research projects
- Working independently and as part of a team
- Highly organised and detail orientated
- Adapts quickly to change
I am a Mathematical Consultant at the Smith Institute. Previously, I worked as a graduate teaching assistant at Lancaster University.
I recently submitted my PhD thesis in statistics and operational research at Lancaster University.
My research interests include data visualistaion, outlier detection, forecasting, and functional data analysis.
Part of undertaking a PhD involves constantly learning new things and, both within and outwith my PhD project, I have further developed my skills in communicating research to a wide range of audiences, learnt how to make beautiful informative graphics, and gained experience of addressing real world business problems through collaboration with industrial partners.
- R (RShiny, tidyverse, plotly, ...)
- Python (pandas, NumPy, ...)
- Functional data analysis
- Outlier detection
- Dimension reduction
- Statistical Modelling
- Time series analysis
- Dynamic Programming
This list is not exhaustive, and I am always looking for new things to learn, and interesting problems to apply them to. If there's a skill that's missing, I am very willing to learn.
I'm looking for opportunities in data science, statistics, and operational research. If you would like to chat, please send me a message.