Mitchell O'harawild
Data Scientist
Melbourne, Victoria, Australia
Summary
🤩
Rockstar🎓
Top SchoolMitchell O'harawild is a data scientist based in Melbourne with a decade of experience applying statistical modelling and software engineering to forecasting and reproducible research. He has contributed substantive back-end work to the widely used robjhyndman/forecast R package—adding model extraction methods for ETS and ARIMA, fixing bugs, and improving mts and tslm handling—demonstrating deep time-series and R internals expertise. At Monash University he combined research, teaching and consulting under leaders like Rob Hyndman, while his role at Nectric centers on applied data science in industry settings. He also builds developer tooling for reproducible documents and CV generation (the vitae package) and has driven technical improvements for The R Journal’s publishing pipeline. Mitchell pairs a PhD-focused academic background in econometrics with hands-on open-source contributions, making him effective at translating statistical theory into reliable, production-ready code. An under-the-radar strength is his track record of improving end-to-end workflows—from LaTeX/R Markdown publishing to low-level model extraction—so projects benefit both scientifically and operationally.
10 years of coding experience
9 years of employment as a software developer
Victorian Certificate of Education, Victorian Certificate of Education at Mullauna Secondary CollegeDoctor of Philosophy - PhD Econometrics and Business Statistics, Doctor of Philosophy - PhD Econometrics and Business Statistics at Monash University
Stackoverflow
2,299reputation
49kreached
93answers
0questions
r
top-5%
Github Skills (15)
r10
rmarkdown10
time-series10
latex10
statistical-models10
r-package10
data-analysis10
dplyr9
data-manipulation9
forecasting6
forecast6
tidyverse6
fable6
arima6
tsibble6
Programming languages (13)
Github contributions (5)
mitchelloharawild/vitae
Nov 2018 - Oct 2022
R Markdown Résumés and CVs
Role in this project:
Back-end Developer
Back-end DeveloperContributions:13 releases, 12 reviews, 378 commits in 3 years 11 months
Contributions summary:Mitchell primarily focused on developing the core functionality of an R package designed for generating résumés and CVs. Contributions included adding package structure and implementing an education function with package imports. Further work involved modifications to the printing functions, and refactoring and updating the LaTeX macros, and overall package functionality.
r-packagerstatsknitrozunconf18r-markdown
robjhyndman/forecast
Dec 2015 - Sep 2022
Forecasting Functions for Time Series and Linear Models
Role in this project:Back-end Developer
Back-end DeveloperContributions:4 releases, 2 reviews, 683 commits in 6 years 10 months
Contributions summary:Mitchell implemented and extended methods for extracting model information for the `texreg` package, specifically for ETS and ARIMA models. The contributions focused on creating extraction methods to retrieve coefficients, standard errors, p-values, and goodness-of-fit statistics such as AIC, AICc, and BIC. The user also fixed a bug and added workarounds for model fitting within the `tslm` function, including data handling improvements and support for functions as variables. Additional work was done to support mts objects and other time series and model handling.
forecastingr-packagetidymodelscranrstats
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