Philip Khor

Philip Khor


Philip is a data scientist with a major commercial bank in Malaysia, with experience in applied microeconometrics, machine learning and technical writing. He occassionally contributes to open-source projects such as the conda-forge software distribution project. He is package maintainer of the R package bnmr and an author of pmdplyr, and volunteers for PyData Kuala Lumpur.


  • Data Visualization
  • Causal Inference
  • Machine Learning


  • Bachelor of Commerce (Honours), 2017

    University of Wollongong

  • Bachelor of Commerce (Dean's Scholar), 2014 - 2016

    University of Wollongong



Data wrangling using tidyverse packages



Machine learning in scikit-learn and Keras



Data Scientist


Mar 2020 – Present Kuala Lumpur
Risk modelling and model governance

Technical Writer

Oct 2019 – Dec 2019 George Town, Penang
Developing product documentation, developing deep learning deployment use cases and providing editorial assistance

Data Scientist Intern


May 2019 – Aug 2019 Shibuya, Tokyo
Building object detection models using deep learning algorithms for agricultural applications.

Data Scientist Associate

The Center of Applied Data Science

Jul 2018 – May 2019 Kerinchi, Kuala Lumpur
Design and deliver data science training courses specializing in R Programming, statistics, Microsoft Excel and data visualization.

Research Assistant

Penang Institute

Aug 2016 – Mar 2017 George Town, Penang
Assisted with primary and secondary research to identify skill gaps and skill shortages in Penang with the Penang Skilled Workforce Study.