Adul Sa-a / Q Data, BI & Automation
Clearer data. I turn messy operational data into systems people can actually use.
Power BI reporting, SQL models, and automation—from the source files to the decisions they support.
เปลี่ยนข้อมูลที่กระจัดกระจาย ให้เป็นระบบที่เข้าใจและนำไปใช้ได้จริง
Based in Bangkok · UTC+7
Selected work / 01 Power BI
Enlarge From marketplace exports to one reporting model ↗ Actual project artifact · Synthetic/anonymized demonstration data
01 Source exports02 Shared model03 Reporting01 / Selected work
The work, and the thinking behind it. Two case studies with working artifacts, source code, and clear limits on what they demonstrate.
01 / Case study
One view across sales channels. Multi‑Channel E‑commerce Sales Pipeline
หนึ่ง dashboard จาก marketplace exports ที่ไม่เหมือนกัน
A reporting view needs comparable platform, order and marketing data without treating incomplete months as completed periods.
What the system enables Creates one comparable reporting layer so a team can inspect channel performance, payout and advertising signals without stitching exports by hand.
Simulated / demonstration scope SEMANTIC MODEL
E-commerce reporting · Project artifacts ⤢ Zoom
01 · Overview KPIs 02 · Daily & Mix 03 · Hourly Heatmap
Click to inspect full resolution SCREENSHOT Committed project artifact. Figures are demonstration data.
Multi‑Channel E‑commerce Sales Pipeline — 01 · Overview KPIs
Committed project artifact. Figures are demonstration data.
02 / Analytics application
Know what your visibility metrics actually measure. Thailand AI Market Intelligence
วัดการมองเห็นแบรนด์ โดยแยกคำตอบ AI ออกจากอันดับผลค้นหา
Comparing visibility across providers is misleading when generative answers and search rankings are blended into one metric.
What the system enables Makes each observation traceable to a provider, query and run, with separate metrics for generative answers and search results.
Public implementation / experimental SEMANTIC MODEL
Thailand AI Market Intelligence · Project artifact ⤢ Zoom
Click to inspect full resolution SCREENSHOT Source screenshot: Serper search observations. Its market-leadership wording is not a verified outcome, and this is not a live portfolio dashboard.
Thailand AI Market Intelligence — 01 · Plate 1
Source screenshot: Serper search observations. Its market-leadership wording is not a verified outcome, and this is not a live portfolio dashboard.
How I organize AI-assisted engineering: AI Command Center . Browse the full source collection on GitHub .
01 Reporting people can use Bring scattered exports into a Power BI model with consistent measures and clear reporting views.
Power BI · Power Query · DAX
02 A stronger data foundation Connect tables, define the grain, and make SQL analysis traceable to the question it answers.
SQL · PostgreSQL · Data modeling
03 Less repetitive data work Turn recurring file handling into a pipeline with validation, failure handling, and a useful handover.
Python · ETL · Automation
03 / The person behind the work
I’m Q. I care about what happens after the dashboard. Can someone explain the number? Find the source? Rerun the process when a file changes? Those questions shape how I build.
My work connects reporting, data modeling, and focused automation. I make the decisions visible so the next person can understand and maintain the system.