I work across financial analysis, reporting and automation. The examples below are intentionally concise and use only non-confidential information.
Connecting business questions with data, building the solution, and communicating the result clearly enough for people to act.
Automated reporting and reconciliation with Python, SQL and Excel VBA, replacing repetitive manual work while keeping exceptions visible.
Built a clearer view of interest-rate movements and their impact across a funded portfolio for Finance and senior stakeholders.
Created ETL pipelines and semantic models across multiple systems while supporting the move from legacy reporting into Azure.
Before my current role, I worked across compliance automation, predictive premium modeling, financial crime analytics and large-scale data migration. That experience shaped how I think about controls, explainability and data quality.
For a conversation about this work, email zkqbill@hotmail.com.