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yabramuvdi/README.md

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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  1. unstructured-data/IESE-FRA-seminar-24 unstructured-data/IESE-FRA-seminar-24 Public

    Materials for the Large Language Models and Machine Learning for Unstructured Data Seminar, organized by IESE and the Fundación Ramón Areces

    Jupyter Notebook 5 41

  2. sekhansen/text_algorithms_econ sekhansen/text_algorithms_econ Public

    Jupyter Notebook 109 42

  3. text-algorithms-benchmarking text-algorithms-benchmarking Public

    Python implementation of multiple text as data methods and benchmarking on publicly available datasets.

    Python

  4. chatbot-rag-demo chatbot-rag-demo Public

    Dash app demonstrating a simple chatbot that uses RAG

    Python

  5. bernoulli-embeddings bernoulli-embeddings Public

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

    Python

  6. master-projects master-projects Public

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

    Jupyter Notebook