Legal accounts professional (law firm finance) and Bachelor of IT (Data Analytics) student, building tested data projects for Data Analyst, Data Engineer and AML/compliance roles.
SQL · Python · Power BI · Tableau · Streamlit · pytest · GitHub Actions
 AML/CTF Compliance Suite Australia's new AML duty for law firms, built as a working tool: 236 clients risk-rated, 95 alerts triaged, and the UN sanctions list screened live. (synthetic clients)  |  Law Firm Operations Revenue is up but profit is behind budget. The simulator shows which lever closes the gap. (synthetic data)  |  Regulatory Change Monitor 200 regulatory changes sorted by impact and urgency: 69 high impact, 16 already overdue. (synthetic data)  |
 Nike vs Adidas Vietnam and Indonesia hold about 40% of the factories, so one shock can hit both brands at once.  |  Head Barista Coffee Bright coffees are thin and heavy coffees are flat: acidity and body correlate at -0.71 across brew methods.  |  UFC Stance & Handedness Right-handed southpaws win more (74.3% vs 70.2%), but at p = 0.07 it is not proven. Hype versus evidence.  |
Each repo has tests, CI and an "At a glance" summary with honest limits. Scraper proof is in docs/LIVE_RUN.md; sources that blocked bots (UFCStats, Perfect Daily Grind) are logged as 0 rows, not bypassed. Compliance, law-firm and regulatory data is synthetic.