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Hi there 👋

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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Yabra Muvdi's Projects

bernoulli-embeddings icon bernoulli-embeddings

Python implementation of Bernoulli embeddings. Useful to create numeric representations of items in a network (e.g. trade network).

fra_iese_seminar_2023 icon fra_iese_seminar_2023

Materials for the 2023 Fundación Ramón Areces - IESE Machine Learning for Textual and Unstructured Data seminar

genealogies icon genealogies

Exploring Colombian genealogies through text analysis

iese-fra-presession-24 icon iese-fra-presession-24

Pre-session materials for the Large Language Models and Machine Learning for Unstructured Data Seminar, organized by IESE and the Fundación Ramón Areces

iese_presession_2023 icon iese_presession_2023

Pre-session materials for the 2023 Machine Learning for Textual and Unstructured Data course at IESE

imdb-wiki icon imdb-wiki

An exploration of the IMDB-Wikipedia dataset

introduction-to-maps icon introduction-to-maps

Brief introduction to maps in R using the "sf" library. https://yabramuvdi.github.io/Introduction-to-Maps/

master-projects icon master-projects

A diverse collection of projects developed through the course of my master's in data science.

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