I am a Machine Learning developer and Data scientist Team Lead. I am use R, Python, Julia, and Scala daily and have extensive experience with machine learning both at a user-level and at a developer level.
I develop a number of popular data science/machine learning open-source packages including diskframe.com - a larger-than-RAM data manipulation framework in R and JLBoost.jl - a hackable gradient tree-boosting library and XGBoost-like in pure-Julia.
I have been working in the finance industry for over 10 years specializing in building credit risk models using Julia, R, and SAS. I have lead projects in provisioning (IFRS9), stress testing, capital (Basel II/III), and application/behavioural scorecards.
I hold a Master of Statistics and a first-class honours degree in mathematics.