I will develop a real estate pricing model using gis and comps analysis
Spatial Data Scientist and Developer
About this Gig
Are you seeking an accurate real estate pricing model that outperforms traditional machine learning models?
I will develop a real estate property valuation model based on property attributes & comparable sales (comps) in the neighborhood.
What I Offer:
- Custom Real Estate Pricing Model: Based on property features & comps analysis.
- Similarity-Based Approach: More accurate than machine learning models.
- Neighborhood Comps Comparison: Ensure pricing is aligned with similar properties.
- Market Trend Analysis: Incorporates key real estate trends for better accuracy.
- GIS & Spatial Data Integration: Enhances valuation with location-based insights.
This similarity-based approach ensures the most relevant comparable properties are used, making the valuation highly accurate & data-driven.
Want to enrich your real estate data?
I also offer additional spatial data integration services, including:
- Census Data (Social & Economic)
- Flood Zones & Soil Type Analysis
- Land Cover & Wetlands Data
- Proximity to Roads & Buildings
Check out my other gig: https://www.fiverr.com/s/Q75E8m3
Why Choose Me?
- Experienced GIS & Real Estate Data Analyst
- High-Quality, Accurate Results
@ Let's Discuss Your Project
Programming language:
Python
•
R
Frameworks:
Scikit-learn
•
Google ML Kit
•
PyTorch
•
Panda
APIs:
Google Cloud Vision API
Tools:
Jupyter Notebook
•
Excel
•
MLflow
•
RStudio
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Other

