Builder of structured systems from chaotic data

I enjoy turning messy datasets into clean, reliable systems using Python, PostgreSQL, and Power Query.

My work sits at the intersection of:

• data modelling
• system design
• structured logic
• practical problem solving

I’m particularly interested in building tools that reduce chaos, improve clarity, and make decision-making easier.

• Building CuraIntel, a structured medical data platform
• Designing multilingual clinical taxonomies
• Developing Python pipelines for real-world messy data
• Improving database design and system architecture
• Building Efflexion, focused on spreadsheet stabilisation and workflow automation

• Python
• SQL

• PostgreSQL
• Power Query
• Pandas
• Excel

• Git / GitHub
• pgAdmin
• Power BI

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🏆 Personal milestone

At 6 a.m., PostgreSQL finally accepted a multilingual medical dataset (927 entries × 3 languages) after two days of non-stop debugging encoding, quoting, and constraint errors.

The green “Import successful” message has never looked so beautiful.

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A structured platform for organising clinical data and medical exam taxonomies across multiple specialties and languages.

• multilingual data modelling
• clinical taxonomy design
• database architecture
• data validation and integrity

Helping businesses turn fragile spreadsheets into reliable, structured reporting systems.

• spreadsheet restructuring
• workflow automation
• reporting architecture
• data cleaning and transformation

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• GitHub: right here on NyxPy
• Organizations: Efflexion

🌌 Philosophy

Good systems don’t begin perfect.
They become coherent through patience, iteration, and a stubborn refusal to let chaos win.

while problem_is_unsolved:
    stay_curious()
    keep_debugging()