Background
Driven Deakin University penultimate and Data Analyst Intern specializing in financial data visualization and quantitative analysis, with hands-on delivery across analytics engineering, BI dashboards, and stakeholder reporting.
Data Analyst · Business Intelligence Specialist
Data becomes decision.
I run a Decision Briefing Studio — turning raw operational data into board-ready narratives with clean definitions, verified metrics, and a controlled visual system.
Professional summary
Disciplined analysis. Board-ready narratives.
Driven Deakin University penultimate and Data Analyst Intern specializing in financial data visualization and quantitative analysis. Highly skilled in Power BI, MySQL, and cloud computing concepts (AWS/Azure), with a strong portfolio of end-to-end data projects designed to optimize business performance.
Positioning
I combine KPI definition, analytics engineering, and executive storytelling—so teams can move from “what’s happening?” to “what do we do next?” with confidence.
Technical skills
Tools I ship with
A focused stack for analytics, modeling, and decision-ready reporting.
BI & Visualization
Advanced Excel
Power BI (DAX)
Power Query
Data Modeling
Tableau
Cloud & Data Engineering
AWS S3
AWS EC2
Athena
Azure
ETL
CI/CD
Programming
Python
SQL
R
CTEs
Window Functions
Scikit-learn
Data Science & Analytics
Predictive Analytics
Regression
Forecasting
A/B Testing
Quant Finance
Mathematical Modeling
Studio
Decision Briefing Studio
A disciplined, one-page deliverable: the story the board will actually read — with numbers you can defend.
01
Metric Contract
Align on definitions early. One source of truth for KPIs, filters, and edge cases—so every chart lands cleanly.
02
Verification Layer
Sanity checks, reconciliations, and “what would disprove this?” tests—so the insight holds under scrutiny.
03
Board Narrative
Executive layout, ruthless hierarchy, and next actions. It reads like a sign-off—not a brainstorm.
The promise
When you scroll, you should feel oriented. When you present, you should feel calm. When you decide, you should feel certain.
Proof
Selected work
Real projects that show structure, validation, and narrative clarity.
Method
Clarity → trust → momentum
A repeatable workflow designed to reduce debate, increase action, and keep definitions stable.
- Frame What decision is at stake? Who signs off? What changes if we’re wrong?
- Model SQL logic that stays consistent; grain, keys, and assumptions made explicit.
- Verify Cross-checks, reconciliations, and sensitivity tests to earn confidence.
- Brief One narrative: context → evidence → recommendation—delivered as a clean artifact.