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What I actually use, and how comfortably. Bars are years × proficiency — calibrated to be honest, not aspirational.
My technical interests sit at the intersection of econometrics, causal inference, time-series analysis, and reproducible research workflows. I use the tools below for analysis, modelling, and communicating results.
Languages
Python
pandas, data cleaning, automation, analysis scripts
3y
R
tidyverse, econometrics, applied research
3y
SQL
querying administrative data, joins, aggregation
2y
EViews
advanced econometrics — UQ Honours coursework
1y
Tools
Excel
models, dashboards, daily driver
6y
Power BI
reporting, dashboards
1y
Methods & interests
Econometric modelling
regression, advanced coursework, applied research
2y
Time-series analysis
ARIMA, VAR, macro & financial series
2y
Causal inference
DiD, IV — interest area, building skills
1y
Financial analysis
Griffith Econ & Finance major
3y
Workflow & reproducibility
Git / GitHub
version control, side projects, learning CI
2y
Quarto / R Markdown
reproducible reports and analysis writeups
2y
Reproducible research
scripted workflows, documented data pipelines
2y