About
About George Iordanous
FP&A analyst with a background in credit control and a master's degree in Data Analytics in Accounting & Finance. I specialise in using data, forecasting, and machine learning to improve collections, cash flow visibility, and decision-making in finance.
What I do today
I currently work as an FP&A analyst, building reports, forecasts, and tools that help finance and leadership teams understand performance and make better decisions.
Before moving into FP&A, I spent several years in credit control and billing, working directly with payment allocation, reconciliations, VAT issues, and customer queries. That experience shaped how I think about collections, DSO, and risk in a very practical way.
Today I combine that finance domain knowledge with Python, SQL, BI tools, and ML to build end-to-end analytics and forecasting workflows.
My journey into data & finance analytics
I started on the operations side of finance – allocating payments, reconciling accounts, resolving disputes, and chasing overdue invoices. Working with real customers and real cash taught me how important it is to have accurate, actionable data instead of static Excel files.
Over time, I found myself automating reports, exploring data in Excel, R, and Python, and asking questions like: "Which customers are most at risk?" or "What patterns predict whether a failed payment will be recovered?"
That curiosity led me to complete my MSc in Data Analytics in Accounting & Finance, and to focus more on analytics, forecasting, and ML as part of my day-to-day work.
Education / Certifications
- MSc Data Analytics in Accounting & Finance – European University of Cyprus
- BS Science of Economics - University of Cyprus
- IBM Data Science Certificate – via Coursera
You can explore my work in more detail on the Projects page.
If you'd like to connect, feel free to get in touch