At Standard Bank, I rotated through Innovation and Data Products & Insights in Cash Operations, researching regulation, vendors, technology initiatives, and remittance datasets. I also gained exposure to product ownership, MVPs and PoCs, blockchain, and AI.
I built and presented the Murex F2B Power BI dashboard from Excel data, and improved Vendor360 scoring against the BRD using an Excel prototype. I also designed a Microsoft Copilot workflow for KPI research and structured documentation with human review.
For my customer banking transaction volume forecasting project, I built a machine-learning pipeline using transaction, financial-product, and demographic data. Feature engineering, cross-validation, and ensemble design improved out-of-fold RMSLE from 0.624 to 0.381.
My other projects include a Python machine-learning investment pipeline for S&P 500 equities and customer segmentation using clustering, decision trees, and latent class analysis. I’m pursuing a Master’s in Applied Data Science at the University of Johannesburg, building on my Mathematics and Computer Science degree and quantitative finance studies.
