I build business intelligence and automation for decisions, not exports.

Problem

Commercial and product teams needed consistent, scalable reporting across clearing members, derivatives products and liquidity trends. Static Excel reports created recurring ad-hoc requests and fragmented performance views.

Solution

Built self-service Power BI dashboards and KPI frameworks for derivatives performance across 10+ product categories. Supported the migration from static reporting into a more scalable BI setup using centralized data models.

Problem

Large analytical datasets required consistent anomaly detection and clearer visibility into the drivers behind unusual changes.

Solution

Developed a Python statistical outlier-detection model using SciPy and Statsmodels to surface unusual patterns and support structured driver analysis.

Problem

Cash market operations involved recurring manual reconciliation, file processing and reporting workflows. These tasks created manual effort, inconsistent quality checks and avoidable operational risk.

Solution

Implemented and improved automation workflows with Power Automate and AI Builder, supported high-volume reconciliation with Power Query and VBA, and created repeatable controls for recurring operational reporting.

Problem

Document quality checks required repetitive visual review for key elements and exceptions, creating avoidable manual effort and inconsistency.

Solution

Trained and optimized an AI-based computer-vision quality-control tool using Python and OpenCV to review documents and flag exceptions for manual review.

Problem

Large infrastructure teams needed reliable KPI visibility and resource tracking across multiple work packages in the UK HS2 rail programme.

Solution

Built Power BI dashboards, Power Apps solutions and automated data transformation pipelines for engineering and project management stakeholders.