Thoughts on
data science.
Reflections & project notes
Candy, Sweets, and Jelly: Explaining Data Science at School (and Getting My Labels Wrong)
I volunteered at two school events to explain what a data scientist does — to Year 1 and 2 at an academy, and to Year 7–8 and Year 12–13 at a secondary school. Part of my talk was a sweet-sorting classifier, and it accidentally demonstrated why label vocabulary matters more than model choice.
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Survey data analysis for free-text responses
24년 초반으로 기억하고 있다. 커밋 히스토리는 그 해 가을이더라.
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Four Knobs in My Text Preprocessing Pipeline (and What Each One Actually Does)
In What I Got Wrong Building a Sentiment Analysis Pipeline for Survey Data and the follow-up checklist, I w...
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What I Got Wrong Building a Sentiment Analysis Pipeline for Survey Data
I ran a sentiment analysis pipeline over free-text responses from an internal survey asking people for thei...
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Fixing a Sentiment Analysis Pipeline: A Checklist for Next Time
In What I Got Wrong Building a Sentiment Analysis Pipeline for Survey Data, I traced why a survey sentiment...
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Prompting Gemini to generate Makaton-style symbol cards
What I learnt about prompt engineering for consistent, licensing-safe AAC symbol generation while building the Getting Started with Makaton choice board.
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On LinkedIn