Applications in Data Science

This project addresses the growing complexity and volume of data in modern society, necessitating advanced quantitative and qualitative analysis across sectors such as Health, Education, and agriculture. The methodology focuses on implementing a complete Data Science cycle. Initially, relevant information sources are searched, selected, and organized. Subsequently, specific areas of interest for analysis are determined. The core of the work involves designing and implementing data-oriented techniques and their subsequent integration into a robust data warehouse. Finally, Data Mining processes are executed, followed by the rigorous interpretation of the resulting information. The approach mandates the use of distributed infrastructures, including Big Data technologies and Business Intelligence tools, to generate predictive behavior models and deliver societal value.<br/><br/><b>Goal</b>: <br/>Apply Data Science techniques to manage and analyze large volumes of heterogeneous information, aiming to generate results useful to society across various application fields.<br/><br/><b>Research lines</b>: <br/>Data science and simulation