I work across Business Intelligence, Data Analytics, and increasingly Generative AI — helping teams and individuals turn raw, scattered data into dashboards and decisions people actually trust. Over the years I’ve built deep, hands-on experience across the full analytics stack. On the BI side, that means everything from your first dashboard to performance-tuned, enterprise-scale reporting, along with data security, data modeling, and the practices that make reporting reliable at scale. On the data side, I work extensively with modern cloud data platforms and SQL, and I enjoy talking through how to design data pipelines that actually hold up as they grow, rather than becoming unmanageable six months in. I also spend a lot of time in predictive and advanced analytics — using techniques like regression and PCA to move beyond basic reporting into forecasting and real decision support — and more recently, in Generative AI applied to analytics. That includes where AI and agents genuinely add value in BI, like automating analysis and letting people query data in plain language, versus where it’s mostly hype, and practical ways to start experimenting with it without overcomplicating things. Alongside that, I work with automation and workflow tools that help cut down on repetitive, manual analytics work. I hold professional certifications in BI analytics and cloud fundamentals, and I enjoy breaking down complex analytics and AI concepts into things people can actually apply — whether you’re just starting out in BI, levelling up your technical skills, or trying to figure out where AI fits into your analytics career. Happy to help with learning paths, technical deep-dives, career direction, or just a sanity check on a problem you’re stuck on.