Strategic Analysis of 6,314 Property Listings for Investment Optimization
This project transforms raw real estate data into actionable investment intelligence. The goal is to identify high-performing geographic markets and determine which property features drive the highest ROI for developers and investors in the Tunisian market.
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Regional Performance: Which governorates generate the highest price per
$m^2$ ? - Investment Efficiency: Are certain regions over-invested or under-supplied?
- Value Drivers: What specific property features (amenities) command the highest price premiums?
- Data Cleaning: Processed raw datasets to remove 1,800+ invalid records and standardized 200+ city name variants.
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Feature Engineering: - Developed a Luxury Score (0โ54) based on a weighted sum of premium features.
- Calculated Price per
$m^2$ and Room Density metrics. - Categorized listings into Economy, Mid-Range, and Premium segments using quantile-based pricing bins.
- Calculated Price per
- Investment Classification: Built a 4-quadrant model (Strong Market, Opportunity, Over-Invested, Low Priority) to classify governorates based on volume vs. pricing efficiency.
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Top Performing Hubs: Tunis leads the market with an average of
$3,440 \text{ TND}/m^2$ , representing a 31% premium over the market average. - The "Luxury" Lift: Properties with a Swimming Pool command a +97% price premium (+539K TND) compared to those without.
- Portfolio Risk: Identified Ben Arous as an "Over-Invested" regionโhigh supply volume but pricing remains 32% below the market average.