At Crowdgen / Appen, I evaluate audio data for AI model training, following technical guidelines and quality benchmarks while achieving 95%+ accuracy.
I built a Monte Carlo option pricing benchmark in Python, comparing five implementations against Black-Scholes and identifying up to 77× speedup.
For a Beach Bar seasonal analytics project, I analyzed real sales data with SQL, Excel, and Power BI. I traced a sales anomaly to a stock-out and recommended targeted weekend-only price increases.
I also built a financial diagnostics tool that calculates business risk measures and runs what-if scenarios. My background includes a BSc in International & European Economic Studies and certifications in AI applications and adult education.
