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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.

Recent Posts

Data visualization is something we use to understand our data. Sure, it has some aesthetic function, but its primary purpose is to …
Last updated on 4 min read

Half of your job, regardless of what that job is, is being able to sell your work. (source) At GRID Inc., my colleague and I were …
Last updated on 5 min read

There’s a bit of a conversation on Twitter whether to use linear models or logistic models for estimating effect sizes in the case of …
Last updated on 4 min read

At my previous gig as a junior data scientist trainer, my team was given some time to revamp our base R-based syllabus to be more …
Last updated on 8 min read r

Some thoughts on keeping a data science project tidy.
2 min read
See all posts

Projects

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All Article Other

Blog post

R package with wrapper functions for accessing the Central Bank of Malaysia’s API

Honours thesis

Term paper

Statistics brief

Report (coauthored)

Statistics brief

Contact