Personal details

ZJ - Remote data scientist

ZJ

Timezone: Melbourne (UTC+11)

Summary

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.

Work Experience

Principal Consultant
evalparse.io | Jul 2017 - Present
Python
R
Pandas
Julia
Used machine learning to build credit risk models

Projects

disk.frame - larger-than-RAM data manipulation framework
Data Science