At Lloyds Banking Group Commercial Banking, I built a Power BI data model and dashboard that brought finance, pricing and actuals data together, giving teams one secure source for KPIs and analysis.
I also built a pricing-effectiveness dashboard comparing estimated first-year deal income with actual income delivered. Its variance informed forecast and pipeline numbers across £25m+ of income, with views for senior leaders and Relationship Managers.
To improve RWA analysis, I developed Python skills to automate a monthly process for identifying eligible clients, helping apply the rules more precisely and saving three processing days a month. I also combined Experian, Bloomberg and internal data to identify client growth and cross-sell opportunities.
Across banking, financial services and retail, I’ve worked on pricing, client reporting, forecasts and KPI dashboards using tools including SQL, Tableau and Excel. I’m currently completing the LSE Data Analytics Career Accelerator, covering Python, R, Tableau and AI in analytical workflows.

