Earo Wang
Sydney, New South Wales, Australia
Summary
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Rockstar🎓
Top SchoolEaro Wang is a researcher, instructor, and software engineer in data science with 12 years of experience, based in Sydney. He specialises in creative methods for effective data visualisation and fluent time series analysis, bringing academic rigour from a PhD in Mathematics & Statistics and an honours degree in Econometrics. Earo has contributed to the widely used robjhyndman/forecast library—adding functions like bizdays and easter and improving lambda transformations—demonstrating practical impact on forecasting tools. He blends research, teaching, and hands-on engineering to improve preprocessing and modelling flexibility, often focusing on subtle but high-leverage improvements to reproducible analytics.
12 years of coding experience
Bachelor of Commerce - BCom (Hons), Econometrics, Bachelor of Commerce - BCom (Hons), Econometrics at Monash University
Sanskrit, English, Chinese
Stackoverflow
789reputation
14kreached
18answers
0questions
Github Skills (13)
data-analysis10
forecasting10
data-preprocessing10
time-series10
forecast10
r10
cran10
missing-data6
tsibble6
dplyr6
hierarchical-data6
tidyverse6
hierarchy6
Programming languages (10)
Github contributions (5)
robjhyndman/forecast
Dec 2013 - Jul 2015
Forecasting Functions for Time Series and Linear Models
Role in this project:
Data Scientist
Data ScientistContributions:44 commits, 1 PR, 1 branch in 1 year 7 months
Contributions summary:Earo primarily contributed to the `forecast` repository by implementing new functions and modifying existing ones related to time series analysis and forecasting. They introduced the `bizdays` function for calculating trading days and the `easter` function for handling Easter holidays, enhancing the library's capabilities. Further contributions included bug fixes and adding functionality, specifically related to handling `lambda` transformations in several existing functions, such as `clean`, which suggests a focus on improving data preprocessing and model flexibility.
linear-modelstime-seriesforecastingforecastcran
earowang/thesis
Feb 2019 - Nov 2019
PhD thesis
Contributions:2 releases, 100 commits, 5 PRs in 9 months
phdthesisphd-thesisresearch-compendiumbookdown
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