A cross-disciplinary portfolio where business analysis, data, AI/ML, UI/UX and vibe-coded products meet. Built to make complexity legible — and the work memorable.
The portfolio should feel like a map of how I think — not a pile of adjectives.
I move from stakeholder requirements to data models, from dashboards to interface details, from operational constraints to marketing attention. The thread is simple: understand the system, reduce noise, design the signal.
Six capabilities, one connected system. Click a domain to open the concept layer.
Requirements, BRD/FRD, stakeholder alignment, process mapping and decisions.
SQL, Tableau, Power BI, data quality, mapping, MDM and reporting systems.
Python, predictive modelling, AI-assisted workflows and output validation.
UI/UX, information architecture, colour psychology, mobile behaviour and visual storytelling.
Next.js, JavaScript, Shopify, Cloudflare, automation and vibe coding.
Marketing instinct, business thinking, presentations, attention design and trading-informed risk sense.
Public GitHub work, live Cloudflare builds and real project metadata — not placeholder case-study wallpaper.
GITHUB → CLOUDFLARE → VAULTBusiness intelligence, quality controls and models become visible — not buried in a bullet list.
The through-line: understand the problem, reduce noise, make the signal useful.
Enterprise migration, governance, validation and AI-assisted implementation for a remote US client.
20+ client accounts, dashboards, data-quality controls, mapping/remediation, UAT and workflow automation.
High-volume validation, discrepancy analysis and executive reporting with 100% SOP adherence.
Trading notebooks, YouTube, visual experiments, cloud builds and half-built ideas — organised, not hidden.
Videos, explainers, experiments and visual thinking — brought into the same portfolio rhythm.
Trading keeps probability, uncertainty and downside visible — useful habits for products and decisions.
Turn business metrics into decision-ready narratives — less dashboard wallpaper, more direction.
Use AI to reduce repetitive work while keeping human validation and interaction design in the loop.
Use market structure, risk and probability to sharpen product intuition — not to cosplay as a signal service.
For Business Analysis, Data, AI/ML, product, UI/UX, automation and hybrid roles — the signal is open.
90s kid energy. Business brain. Data habit. Vibe-coding hands.