Real Estate Market Intelligence
The Challenge
Investors lacked clear visibility into the highly dynamic real estate markets of Cairo and Alexandria. Property prices, square meter rates, and demand trends were scattered across multiple platforms, making investment decisions risky and unguided.
The Execution
- Data Acquisition: Developed a custom Python web scraper using BeautifulSoup to extract over 10,000 live property listings from major Egyptian real estate platforms.
- Data Cleansing: Utilized Pandas to clean messy text data, standardize location names, and handle missing price values.
- Visualization: Designed a dynamic Power BI report featuring interactive map visuals and price-per-meter distributions.
Business Impact
- Strategic Investment: Delivered an interactive heat map allowing investors to visually identify high-ROI zones in Cairo and Alexandria in seconds.
- Market Clarity: Transformed scattered internet data into a reliable, automated intelligence asset.