AI for Real Estate Market Intelligence
Market forecasting with spatial and time-series ML, CNNs; automated ETL, executive dashboards for confident investment.
Real estate forecasting
Advanced forecasting and optimization for real estate investment
Project Details
Upfund
Real Estate – Data Science & R&D
2024
Mission
Senior Lead Data Scientist – Real Estate Forecast & R&D
Real Estate Forecasting & Optimization
Long-term mission / Paris, France
ML: Forecasting real estate indicators via geospatial statistics and machine learning models, with 2D CNN testing for rasterized map analysis and geographic embedding integration. DE & DA: Data pipeline design (scraping, ETL), preprocessing / EDA. R&D: Scientific framing of issues (hypotheses, protocols), model synthesis.
Contexte & Environnement
Upfund, a real estate investment specialist, faced major challenges in real estate market forecasting and investment decision support. The complexity of residential and commercial real estate markets, combined with strong geographical and seasonal variability, required advanced predictive models.
Senior Lead Data Scientist with focus on R&D and forecasting
Python with PostgreSQL/PostGIS, AWS S3, Airflow orchestration
Objectifs Cles
Technologies & Infrastructure
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