I build data systems, automate reporting workflows, and create dashboards that help organisations act on what their data is actually saying.
I'm a data analyst who finds the story buried in spreadsheets, safety logs, and operational databases — and builds the tools to tell it clearly.
My work sits at the intersection of data engineering and practical business intelligence. I specialise in Excel automation, Python scripting, Power BI, and applied AI — building end-to-end pipelines from raw data to decision-ready dashboards and insights.
I write regularly about data analysis, AI tools, and automation — sharing frameworks that help professionals work more effectively with their data.
A complete framework combining crew reporting analytics, Python pipelines, and Power BI dashboards into a unified aviation safety intelligence system.
How to connect Excel, Python, and Power BI to extract actionable signals from high-volume crew report and inflight event data.
Master year-specific analysis using dynamic filters, Power Query time intelligence, and professional Excel workflows.
A practical deep-dive into FILTER, SORT, UNIQUE, and SEQUENCE — and why they change how organisations work with data.
Step-by-step guide to designing real-time dashboards that connect live data sources, track risk indicators, and support operational decisions.
Build smarter data models, streamline multi-source reporting, and unlock analytical capabilities beyond standard Excel.
Beyond general data analysis, I have deep domain expertise in aviation safety data — the specific challenges of crew reporting systems, incident classification, regulatory compliance, and safety performance monitoring.
Aviation generates high volumes of structured and unstructured safety data. I build the analytical infrastructure to make that data meaningful: tracking trends, surfacing early warning signals, and delivering clear reporting for safety management teams and regulators.
This domain expertise means I understand not just the data, but the operational context behind it — which is where the most valuable analysis lives.
Always happy to connect with fellow data professionals, discuss analytical challenges, or explore how I might contribute to interesting projects.
Whether you're working on a data problem, want to discuss something I've written, or simply want to connect — my inbox is open.
I typically respond within a couple of days.