Philip Khor
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
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Bachelor of Commerce (Honours), 2017
University of Wollongong
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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
Technical Writer
Developing product documentation, developing deep learning deployment use cases and providing editorial assistance
Data Scientist Intern
GRID Inc.
Building object detection models using deep learning algorithms for agricultural applications
Data Scientist Associate
The Center of Applied Data Science
Design and deliver data science training courses specializing in R Programming, statistics, Microsoft Excel and data visualization.
Research Assistant
Penang Institute
Assisted with primary and secondary research to identify skill gaps and skill shortages in Penang with the Penang Skilled Workforce Study.
Projects
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