I am an economist and data scientist with experience using methods from machine learning, natural language processing, and causal inference to contribute to the understanding of problems in a wide variety of fields. I enjoy teaching and building accessible demonstrations of ML and NLP methods for a broad audience. My pinned repositories showcase some of this work :)
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unstructured-data/IESE-FRA-seminar-24
unstructured-data/IESE-FRA-seminar-24 PublicMaterials for the Large Language Models and Machine Learning for Unstructured Data Seminar, organized by IESE and the Fundación Ramón Areces
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text-algorithms-benchmarking
text-algorithms-benchmarking PublicPython implementation of multiple text as data methods and benchmarking on publicly available datasets.
Python 1
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chatbot-rag-demo
chatbot-rag-demo PublicDash app demonstrating a simple chatbot that uses RAG
Python
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bernoulli-embeddings
bernoulli-embeddings PublicPython implementation of Bernoulli embeddings. Useful to create numeric representations of items in a network (e.g. trade network).
Python
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master-projects
master-projects PublicA diverse collection of projects developed through the course of my master's in data science.
Jupyter Notebook
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