This thesis, developed in collaboration with MOD - Matter Of Design, details the creation of a comprehensive data-driven platform designed to innovate the real estate workflow. The project began with a foundational phase of data engineering on AWS and the development of a Python back-end for the digitalization of business processes. The core of this work focuses on the application of machine learning models for regression and classification tasks, aimed at predicting prices and housing typologies within the Verona real estate market. The resulting integrated system provides the company with a powerful tool for market analysis and data-driven decision-making.

This thesis, developed in collaboration with MOD - Matter Of Design, details the creation of a comprehensive data-driven platform designed to innovate the real estate workflow. The project began with a foundational phase of data engineering on AWS and the development of a Python back-end for the digitalization of business processes. The core of this work focuses on the application of machine learning models for regression and classification tasks, aimed at predicting prices and housing typologies within the Verona real estate market. The resulting integrated system provides the company with a powerful tool for market analysis and data-driven decision-making.

From Data Engineering to Predictive Analytics: Development of a Data-Driven Platform for the Verona Real Estate Market with MOD - Matter Of Design

LOVATO, EMMA
2024/2025

Abstract

This thesis, developed in collaboration with MOD - Matter Of Design, details the creation of a comprehensive data-driven platform designed to innovate the real estate workflow. The project began with a foundational phase of data engineering on AWS and the development of a Python back-end for the digitalization of business processes. The core of this work focuses on the application of machine learning models for regression and classification tasks, aimed at predicting prices and housing typologies within the Verona real estate market. The resulting integrated system provides the company with a powerful tool for market analysis and data-driven decision-making.
2024
From Data Engineering to Predictive Analytics: Development of a Data-Driven Platform for the Verona Real Estate Market with MOD - Matter Of Design
This thesis, developed in collaboration with MOD - Matter Of Design, details the creation of a comprehensive data-driven platform designed to innovate the real estate workflow. The project began with a foundational phase of data engineering on AWS and the development of a Python back-end for the digitalization of business processes. The core of this work focuses on the application of machine learning models for regression and classification tasks, aimed at predicting prices and housing typologies within the Verona real estate market. The resulting integrated system provides the company with a powerful tool for market analysis and data-driven decision-making.
Machine Learning
Amazon Web Service
Real Estate
Regression
Classification
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12608/91836