Decision first
Start from the question and the decision it supports, then work back to the data — not the other way around.
About me
I turn business questions into decisions people can act on.
I'm a Business Analytics graduate based in Sydney, building a career in business intelligence. What drives me is the moment analysis stops being a chart and becomes a decision someone actually makes.
My story
From curiosity about data to decision support.
I started where a lot of analysts do — fascinated by charts. Through a set of end-to-end projects I learned the harder, more valuable lesson: a dashboard only matters when it answers a real question and points to a decision. That shift, from "what does the data show" to "what should we do about it", is how I now approach every piece of work.
I'm honest about being early in my career. What I bring is genuine analytical curiosity, a strong work ethic, and the communication skills to make technical work land with non-technical teams. I'd rather ship a clear, trustworthy answer than an impressive-looking chart nobody uses.
How I work
Principles I bring to analytics.
Trust the inputs
Clean data, clear definitions and stated assumptions before any recommendation leaves my hands.
Communicate to act
Translate findings into plain, stakeholder-ready recommendations that teams can actually use.
Keep learning
Treat feedback and new tools as fuel — the field changes, and so should I.
What shaped my thinking
Advice from industry that stuck with me.
"You either have data or just an opinion."
This reinforced that recommendations should be evidence-backed — and that AI outputs deserve scepticism. Future analysts should sense-check models, question results and apply critical thinking.
In practice: data quality, evidence-based decisions, responsible AI.Insights create value only when people understand, trust and adopt them.
Analysis alone doesn't create impact. Recommendations need communication, empathy and stakeholder support so that teams can genuinely act on them.
In practice: stakeholder engagement, adoption, change communication.Change is constant, and data supports better decisions during uncertainty.
Analysts should explore options rather than assume one perfect answer — communicate clearly, stay open to alternatives and keep learning as the work changes.
In practice: adaptability, options thinking, continuous learning.Let's build something useful.
Open to BI and data analyst roles across Sydney and remote in 2026.