A small data toolkit built for decision-making on Dubai real estate. Two tools sit side-by-side: a transaction-level intelligence dashboard focused on the communities the firm invests in, and a weekly snapshot designed for investor updates.
Built while leading investment and strategy at Dash Capital (Dubai).
Flask + Pandas dashboard that loads DLD (Dubai Land Department) transaction data and focuses the view on two communities: Emaar South and Dubai Creek Harbour.
- Auto-normalises two incompatible DLD export formats (old Dubai Pulse + new DLD)
- Bundled demo data — works out of the box, no setup step
- Drop real DLD CSV into
dashboard/data/dld_transactions.csvand restart to go live
Run
cd dashboard
pip install flask pandas numpy
python app.py
# http://localhost:8085Real data source
A dark-mode weekly snapshot of Dubai market performance — value (AED bn), deals, off-plan share, sourced from public DLD reporting.
Run
cd weekly-snapshot
python server.py
# http://localhost:8000- Focus over breadth. The dashboard intentionally only covers the two communities that drive firm decisions. A generic "all of Dubai" view was rejected — vanity breadth, little decision value.
- Two data formats, one loader. DLD exports changed mid-2025. The loader normalises both so the dashboard survives format drift.
- Demo-first. Every tool ships with bundled demo data so a reviewer can run it in 60 seconds without a data hunt.
MIT