Data · Automation · Research
Useful systems.
Honest signals.
I’m Moohwaan, a practical data builder turning messy real-world problems into clear tools, repeatable workflows, and decision-ready evidence.
Selected work
Built around
real constraints.
Projects where data quality, clarity, and operational usefulness matter as much as the final interface.
Data & Dashboards
Steel Price Dashboard
A source-backed monitoring workspace that turns fragmented steel-price updates into decision-ready signals.
Data & Dashboards
Project Delivery & Claim Control Center
A governed operational workspace that turns fragmented delivery and billing spreadsheets into a clear Plan-versus-Actual workflow.
Trading Research
XAUUSD Morning Analysis System
A repeatable pre-market workflow for turning macro context, venue status, and risk signals into an actionable brief.
Operating principles
Trace the source.
Important outputs should point back to the evidence and definitions that produced them.
Design for uncertainty.
Missing, stale, and conflicting data are system states—not details to hide.
Leave a clear next step.
A useful workflow makes it easy for someone to understand where things stand and continue the work.
Field notes
Thinking in public.
A green status is not an end-to-end test
Why a healthy deployment view can coexist with a broken user request path—and how to inspect the difference safely.
Revit, AI, and the approval boundary
A practical way to start using AI with construction information without confusing exported data, documented integrations, and authorized model changes.
The evidence ladder: source, runtime, and acceptance
A vocabulary for describing what a technical investigation actually proves—and what it does not.