HOMIWOO
Simon P. is a Data Scientist and Tech Lead at HOMIWOO since March 2020, specializing in the development of innovative products and functionalities using real estate data, with expertise in real estate valuation, floor-plan reconstruction utilizing graph neural networks, MLOps growth, and market analysis through geospatial NLP. Prior to this role, Simon P. interned as a Data Scientist at Probayes, where a deep active learning model for anomaly detection and a time series segmentation and clustering module were designed for predictive maintenance applications. Additionally, Simon P. completed an internship as a Data Scientist at HOMIWOO in 2018. Simon P. holds a Master's Degree in Computer Science and Applied Mathematics from the National School of Computer Science and Applied Mathematics of Grenoble and has completed a preparatory class in Physics and Mathematics at Lycée Michelet, Vanves. The foundational education includes a Baccalauréat in Sciences from Lycée Hoche.
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HOMIWOO
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Homiwoo is a real estate market valuation and analysis platform for professionals. Homiwoo leverages the latest Data Science techniques to compute the sale price of a property, its market rental value and modelize the market in which it operates.