I work at the intersection of operations, process design, data and technology.
My focus is transforming complex operational processes into clear, traceable and scalable decision models.
- Process & Decision Modeling
- Business Process Automation
- Data Analysis
- Operational Performance
- Capacity Planning
- Artificial Intelligence for Operations
Building practical projects that connect business problems with data, automation and AI.
Operational capacity planning case using Python to evaluate workload, backlog, productivity and resource sizing.
The project includes demand growth scenarios, decision rules and automated analysis using GitHub Actions.
Rule-based validation engine designed to transform business requirements into structured, traceable and automated validations.
The project demonstrates how operational rules can be translated into executable decision logic using Python, Pandas and GitHub Actions.