Data Analysis | BI Solutions | Workflow Automation | AI Automation
Microsoft Certified
Fabric Analytics Engineer Associate (DP-600)
I am trying to bridge the gap between financial operations and cutting-edge data technology. With over 8 years of experience in capital markets and diverse industries - serving in different roles at top-tier firms like Morgan Stanley and General Electric - I understand that data is only valuable if it drives decisions.
I view automation and data transformation through the lens of a Finance Controller. I don't just build dashboards and data pipelines — my goal is to tell the story behind the numbers. With the help of a modern tech stack like Power BI, Fabric, n8n and the newest agentic AI assistants, I reduce operational costs and eliminate manual inefficiencies. My track record includes managing over $150MM in expenses and delivering $1MM+ in direct cost savings through process optimization.
At Nixi Consulting, I help forward-thinking businesses transform their raw data into powerful, actionable insights. Whether you need to automate your financial workflows or build an AI-driven reporting infrastructure, I deliver solutions that pay for themselves.
General Electric
Genpact
Morgan Stanley
Morgan Stanley
Nixi Consulting
Power BI-driven reporting solutions designed to support executive decision-making with real-time financial insights and automated KPI tracking.
Comprehensive data reconciliation for trading, settlements, custody, and cash transactions – ensuring accuracy and compliance across all financial operations.
ETL process development, including AI-assisted solutions, that transforms unstructured data into clean, actionable information for your business.
AI-powered financial analysis and decision support in controlled environments – combining machine intelligence with human expertise for optimal outcomes.
End-to-end financial process automation without IT dependency – empowering finance teams to own and optimize their workflows independently.
Fractional strategic data & analytics leadership – providing expert guidance on cost management, reporting strategy, and BI implementation.
Data Engineering, Finance and AI
You don't need an IT department to build a BI solution. With the right tools and governance, finance teams can own their data pipeline from source to dashboard.
The average month-end close takes 6-7 business days. Top performers do it in 3-5. Some companies have cut it to 2 days with automation. Here's how.
How to wire n8n, Power BI, and the Model Context Protocol together for an automated data pipeline that feeds AI-generated insights directly into your dashboards.
Have a project in mind? Let's discuss how I can help transform your data.
Phone
+36 70 582 9084Location
Budapest, Hungary
