Source code for the data analysis and models, including the FewSOC prompting framework for O*NET-SOC classification, used in the paper "Leveraging Large Language Models for Career Mobility Analysis: A Study of Gender, Race, and Job Change Using U.S. Online Resume Profiles."

Exploring the Impact of Crime and Income on Sydney House Prices. This project investigates how these factors shape property prices. It integrates clustering for structural pattern discovery with predictive modelling, demonstrating the limitations of linear regression and the advantages of tree-based methods in capturing non-linear dynamics.

Analyzed the socio-economic impact of French train stations using SNCF/INSEE data , presenting findings via an interactive Power BI dashboard for a national dataviz challenge.

Hierarchical clustering and cultural index analysis on World Values Survey data (97k+ observations) with MDS, SOM, and socioeconomic correlation study.

Pipeline de ciência de dados e Machine Learning para analisar o impacto socioeconômico no desempenho do ENEM 2023 e prever nota média do usuário. Inclui tratamento de dados em larga escala, EDA e simulador interativo.

Predictive classification of passenger survival, featuring an inflation-adjusted economic analysis of ticket fares.

Analyze how crime rates and household income affect Sydney suburb house prices using clustering and predictive modeling from 2016 to 2021