Biography

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.

Interests

  • Data Visualization
  • Causal Inference
  • Machine Learning

Education

  • Bachelor of Commerce (Honours), 2017

    University of Wollongong

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

    University of Wollongong

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Skills

R

Data wrangling using tidyverse packages

Statistics

Python

Machine learning in scikit-learn and Keras

Experience

 
 
 
 
 

Data Scientist

Mar 2020 – Present Kuala Lumpur
 
 
 
 
 

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

GRID Inc.

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.

Contact