Finance · AI · Decision Support
My professional path started in accounting and financial reporting, where structure, accuracy and discipline were essential. Over time, this foundation expanded into controlling, business partnering and working closely with operational teams across international environments.
This experience shaped a broader understanding of how businesses actually function — not just as financial statements, but as interconnected systems of processes, decisions and trade-offs.
A natural next step was process optimization. Improving workflows, reducing inefficiencies and building more structured decision support systems became a core focus.
From there, the transition into automation and data-driven work followed logically. Tools like Python, SQL and modern analytics enabled a shift from manual reporting toward scalable, repeatable solutions.
Today, the focus is increasingly on artificial intelligence — not as a trend, but as a practical layer on top of business and financial processes. The goal is to move beyond dashboards and reporting, toward intelligent systems that support real decision-making.
This combination of business understanding and AI-driven thinking defines the current direction: building more adaptive, automated and insight-oriented finance and operational environments.