• Optimised firm-wide data reporting and BI processes, automating data cleansing, transformation, and aggregation using Python (Pandas, NumPy). Delivered interactive dashboards in Microsoft Power BI, improving reporting efficiency and enabling real-time performance tracking for consulting leadership. • Supported strategic business cases using data analytics and financial modelling, including infrastructure investment decisions in the civil nuclear sector. Quantified cost savings and return profiles under different market and operational assumptions. • Led data-driven pricing and commercial analytics initiatives for a Global Telecommunications client, analysing large-scale service usage and revenue data across 200+ products. Built scalable data models to improve pricing efficiency and cost recovery, contributing to measurable margin improvement. • Designed and delivered end-to-end data analytics solutions for Global Tier 1 Banks, translating large-scale economic and financial datasets into actionable insights for senior risk and strategy stakeholders. Built Python-based analytical pipelines to assess how macroeconomic drivers (inflation, unemployment, GDP, interest rates) impact portfolio performance under different scenarios. • Developed scenario-driven analytics models aligned with IFRS 9, enabling clients to quantify credit risk sensitivity and impairment outcomes under adverse conditions. Enhanced and recalibrated existing LGD models using SAS and Python, supporting stress testing, forecasting, and management decision-making. • Designed and implemented statistical and time-series models to support pricing analytics, portfolio segmentation, and scenario calibration across retail and corporate datasets. Focused on explainability and usability of outputs for non-technical stakeholders.