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About

◆ Skills

Everything I've learned.

This page holds every skill I have picked up since 2019, from my first Python subject to the work I do now. Each one links to where I learned it and where I used it.

01At a glance

Skills
134
Subjects
36
Projects
22
Coursework labs
19
Credentials
23
Years
2019–2026

02Learning timeline

This is what I learned and used, year by year. Knowledge notes and explainers are left out because I wrote them later and they have no date of their own.

  1. 2019

    4 items · 3 subjects · 1 coursework item

    New on record4

  2. 2020

    13 items · 10 subjects · 3 coursework items

    New on record21

  3. 2021

    16 items · 9 subjects · 4 coursework items · 1 project · 2 credentials

    New on record27

  4. 2022

    7 items · 2 subjects · 1 coursework item · 1 role · 2 projects · 1 credential

    New on record12

  5. 2023

    22 items · 9 subjects · 8 coursework items · 1 role · 4 projects

    New on record22

  6. 2024

    19 items · 3 subjects · 2 coursework items · 4 roles · 9 credentials · 1 blog post

    New on record14

  7. 2025

    12 items · 3 roles · 2 projects · 7 credentials

    New on record9

  8. 2026

    37 items · 19 coursework items · 1 role · 4 projects · 1 credential · 12 blog posts

    New on record17

03Skills atlas

There are 134 skills in 10 areas. Open a skill to see every place it shows up, with a link to each one.

Searches skill names in English and Chinese, and the tools behind them.

Area
Sort

Showing 134 of 134 skills

Statistics

Statistics & inference

I estimate, test and model with data, from first-year hypothesis tests to Bayesian models.

16 skills

Maths

Mathematics & algorithms

This is the maths underneath: linear algebra, calculus, optimisation and the algorithms that put them to work.

5 skills

ML & AI

Machine learning & AI

These are models that learn from data, and the habits I use to check that they work.

18 skills

GenAI

GenAI, evaluation & governance

I build with large language models, check their answers against the data and keep an audit trail.

8 skills

Data & cloud

Data engineering & cloud

I get data in, store it, move it and compute on it, on a laptop, a cluster or the cloud.

20 skills

Analytics

Analytics, BI & intelligence

I turn data into reports, maps and intelligence that people can act on.

14 skills

Software

Programming & software

These are the languages, frameworks and practices I use to build tools and apps.

33 skills

Research

Research methods & reproducibility

I frame questions, design studies and make results that other people can rerun.

7 skills

Communication

Communication, leadership & teaching

I explain findings, teach, lead teams and keep work moving.

7 skills

Languages & breadth

Languages & breadth

These are the languages I work in, and what I studied and trained in outside data.

6 skills

04Subjects I studied

These are all 36 subjects from my two University of Melbourne degrees, in the order I took them. Where I rebuilt an assignment as a live lab, or wrote a note on the topic, the subject links to it.

Undergraduate: Bachelor of Science, Data Science, Jul 2019 – Jul 2022

2019, Semester 2

2020, Term not recorded

2021, Term not recorded

2022, Term not recorded

Master's: Master of Data Science, Feb 2023 – Jul 2024

05Credentials

These are my 23 credentials, the same list as on my resume, with the skills each one adds evidence to.

  • Google7
  • Leadership and community4
  • Technical4
  • Professional assessment3
  • Agile2
  • Neo4j2
  • Microsoft1

06Where to go deeper