I'm a Management and administration professional making a deliberate pivot into data analytics. With a strong foundation in numbers, reporting, and business operations, I'm now building the technical skills to turn raw data into decisions.
I'm currently focused on mastering the full data analyst toolkit - SQL, Python, Power BI, and Tableau - through hands-on portfolio projects that solve real business problems.
Data Analysis & Querying
Visualisation & BI
Python Libraries
SQL + Python end-to-end analysis of a synthetic e-commerce dataset
What I built:
- Revenue trend analysis with month-over-month growth using window functions
- Monthly cohort retention heatmap tracking customer behaviour over 24 months
- RFM customer segmentation (Recency, Frequency, Monetary) identifying 8 customer tiers
- Product performance analysis flagging high-volume, low-margin items
Tools: Python · Pandas · Matplotlib · Seaborn · SQL · Jupyter Notebook
Power BI + Tableau dashboards analysing 5,000 patient admissions across 7 hospital departments
What I built:
- 3-page Power BI dashboard with KPI cards, trend charts, and department scorecards
- Tableau dashboard published live with interactive filters
- Dataset generated in Python covering wait times, outcomes, satisfaction and readmissions
- Identified Emergency dept wait times running 50% above target — actionable insight
Tools: Power BI · Tableau · Python · Excel
🔗 View Repository 🔗 View Live Tableau Dashboard
- 📊 Advanced DAX for Power BI
- 🐍 Python for machine learning (scikit-learn)
- 🗄️ PostgreSQL for advanced querying
- 📜 Google Data Analytics Certificate
Before pivoting into tech, I spent years in finance and administration — managing budgets, reporting on business performance, and working with data every day in Excel and financial systems. That experience gave me a strong business instinct: I don't just build charts, I ask what decision does this data need to support?
Open to remote Data Analyst roles in Australia or Overseas — Sydney, Australia 🇦🇺