Coming Soon — Three Projects in Progress
A Power BI operations dashboard, an n8n automation workflow, and a Python data pipeline — currently being documented and published.
- Power BI
- Python
- n8n Automation
- React.js
- SQL
Business Analyst · Continuous Improvement Engineer · Digital Transformation
The rarest hire in any transformation project is someone who understands both the operation and the system built to improve it — and can digitize the gap between them. That's what I bring.
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Agile Workshops
MS Health, 2025
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Business Requirements Defined
MS Health, 2025
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Cycle Time Reduction
SOSIPO, 2021
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Real-Time KPIs Tracked
SOSIPO, 2021
Mechanical engineer by training, business and data analyst in practice. Through internships on production lines at Coca-Cola and SOSIPO, and structuring requirements for a healthcare platform at MS Health, I learned early that the gap between what organizations intend and what they execute is almost always a clarity problem.
I don't just gather requirements — I've mapped losses on a live bottling line.
That experience shaped how I approach analysis. I don't just gather requirements — I've mapped losses on a live bottling line. I don't just design KPIs — I've tracked them against real production targets. Today I combine that operational foundation with business analysis, Power BI dashboards, Python pipelines, n8n automation, and React front-ends to build systems that are structured, measurable, and executable.
Every engagement follows the same logic — whether I'm on a factory floor, inside a product team, or building a dashboard:
Map the operational reality before touching a single requirement. Talk to the people doing the work. Understand the constraints, the workarounds, and what the data isn't showing.
Define what needs to be true. Requirements, process logic, user stories, acceptance criteria — written clearly enough that a developer, a manager, and a machine can all act on them.
Build the execution system. Agile sprints, KPI frameworks, dashboards, automation workflows — the architecture that turns the structured requirements into something deliverable.
Close the loop. Track what was built against what was promised. KPIs, performance reports, dashboard monitoring. If it can't be measured, the improvement isn't real.
This is how a 40% cycle time reduction gets built. Not from a slide deck — from observation, structure, execution, and measurement applied in sequence.
Core Capabilities
Four capability areas — each grounded in real field work, from factory floors to product teams:
Lean, DMAIC, and root cause analysis applied to real industrial systems — from bottling lines to manufacturing processes. I've mapped losses, sized equipment, and built KPI frameworks on live production floors.
From stakeholder interviews to delivery-ready specifications. I translate messy operational and business needs into structured requirements, user stories, and process documentation that development teams can act on immediately.
Agile ceremonies, sprint planning, and cross-functional coordination across technical and operational teams. I bridge the gap between business requirements and development delivery — tracking progress, managing priorities, and keeping stakeholders aligned.
From raw data to decision-ready dashboards — and from manual processes to automated workflows. I build Power BI reports, write Python and SQL queries, automate with n8n, and develop React interfaces that make data accessible, not just visible. I also integrate AI tools into delivery and analysis workflows.
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Capability Domains — From Factory Floors to Digital Systems
Each grounded in real field work. Each proven in production environments.
Clarity is a performance multiplier. If it is not structured, it cannot be executed. If it is not measured, it cannot be improved.
Hands-on builds applying every capability above to real data and automation problems.
A Power BI operations dashboard, an n8n automation workflow, and a Python data pipeline — currently being documented and published.
Projects will be published here as they are completed.
Experience
Five field engagements — each structured as context, challenge, approach, and measurable outcome.

"I've mapped losses on a live bottling line — and built the systems to fix them."
Education

2018 — 2021
Mechanical Engineering Degree
New Product Design

2016 — 2018
DUT Mechanical Engineering & Manufacturing
Industrial Foundations

AUG 2025 — APR 2026
Cognitive frameworks applied in stakeholder facilitation, behavioural change management, and high-performance team alignment.
Multilingual delivery across operational, consulting, and technical environments.