I give private lessons in Data Science and Analytics

I am an Analytics Engineer with 5+ years of experience bridging the gap between technical infrastructure and strategic decision-making. I specialise in building scalable, automated data solutions that turn complex datasets into clear, actionable insights for operational and strategic leadership. My career is built on a simple premise: if data is not being used to drive efficiency or solve real-world problems, it is not delivering its full value. I thrive when I can operate at the intersection of data, engineering, and business strategy, building systems that don't just store information, but actively empower organisations to move faster and smarter. My Core Technical Expertise: 1. Cloud & Data Engineering: Architecting end-to-end pipelines using Azure Databricks, PySpark, and robust medallion architectures. 2. Business Intelligence: Designing enterprise-grade Power BI models that serve stakeholders ranging from C-suite executives to frontline analyst teams. 3. Automation & Efficiency: Leveraging Python, SQL, and Azure DevOps to eradicate manual bottlenecks, having successfully eliminated thousands of hours of manual auditing in previous roles. 4. Data Culture: Championing data maturity by mentoring teams, establishing Git/CI-CD best practices, and leading AI upskilling workshops for non-technical stakeholders. I am always looking for ways to improve decision-making at scale through better engineering and predictive modelling. Let’s connect if you are interested in discussing data engineering, analytics strategy, or the evolving role of AI in the insurance and fintech sectors.