

University of Sydney
BSc Data Science & Business Analytics
July 2024 – Expected Dec 2026
I enjoy turning ambiguous problems into structured decisions, systems, and products that people can actually use.
My work sits at the intersection of analysis, strategy, and execution — combining data-driven thinking with practical judgment to move ideas from exploration to action.
Across product, business, and investment-related projects, I focus on building clear logic, testing assumptions quickly, and creating outcomes that hold up beyond presentations and theory.
How I move from an ambiguous question to evidence, a usable product, and a decision.
Problem I solve
I turn fragmented data into evidence about what is happening, what may happen next, and which signals actually matter.
Typical outputs
Problem I solve
I move analytical ideas beyond notebooks into reliable, repeatable systems that real users can operate.
Typical outputs
Problem I solve
I translate ambiguous needs into a clear user problem, product logic, and a solution that can be tested quickly.
Typical outputs
Problem I solve
I convert research and models into choices that decision-makers can understand, compare, and act on.
Typical outputs
Core toolkit
The stack changes; the method stays consistent.
Selected portfolio
I frame ambiguous problems, build the evidence and models, then carry the work through to a clear recommendation or usable product.





