Projects

Selected applied work across data science, causal inference, Bayesian modeling, and web development.

Splitter App

Debt Settlement App

Full-stack prototype for tracking shared expenses, calculating balances, and simplifying debt settlement between users.

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BNN predictive intervals

Modelling Uncertainty with Bayesian Neural Networks

Tutorial and implementation of Bayesian neural networks, with a focus on predictive uncertainty in energy demand forecasting.

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LIAR topic modeling

LDA Topic Modeling for Fake News Detection

Application of LDA topic modeling to the LIAR dataset to explore how themes and language patterns relate to fact-checking labels.

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Bayesian modeling

Hierarchical Bayesian Modeling of Violence in Colombia

Research on the relationship between economic development and violence in Colombia using hierarchical Bayesian models.

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