Knowledge-infused Contrastive Learning for Urban Imagery-based Socioeconomic Prediction
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Updated
Feb 11, 2023 - Python
Knowledge-infused Contrastive Learning for Urban Imagery-based Socioeconomic Prediction
Investigates the correlations between a vibrant local music scene and socioeconomic indicators using the Live Music Event Rate (LMER) heuristic. Presented in ISMIR 2022.
Shiny app for DP2 index calculation and visualization
Irradiare's Project Efficiency and Forecasting App: track and predict the impact of the company's projects across affected regions over time.
🌍 Statistical analysis of development patterns of world countries using socio-economic factors
Education is a key enabler for the future and prosperity of societies. Besides having its own goal in SDG goals, other goals can be tied back and fuelled by a well-educated population. The paints a picture of the relationship between education and socioeconomic indicators.
Comprehensive analysis of Pakistan crimes (2000-2024) with socioeconomic correlations
AQR Graduate Thesis
Hierarchical clustering and cultural index analysis on World Values Survey data (97k+ observations) with MDS, SOM, and socioeconomic correlation study.
Análise Exploratório dos dados socioeconômico.
Correlations and trends in COVID-19 data from 2020-2022
VIIRA: A geospatial research dashboard analyzing the correlation between Night-Time Lights (VIIRS) and telecom infrastructure in Kerala. Built with Streamlit and PyDeck for interactive 3D visualization and statistical validation.
Slides del curso "Paquete ech: caja de herramientas para procesar la ECH" - Edición 2020 - Educación Permanente FCS - UdelaR
A reproducible framework for calculating the Austrian Socioeconomic Deprivation Index (ASDI) at the municipality level using public STATatlas data, including a clinical proof-of-concept.
Análisis de DALYs y su relación con variables ambientales y socioeocnómicas.
HarvardX Data Science Capstone applying Random Forest regression in R to predict Brazil's Municipal Human Development Index using socioeconomic indicators.
Creación de una cartera de clientes usando PySpark para entrenamiento de modelos economicos e implementación de data-streaming y MLOps.
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