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rxavier/README.md

Hi! I'm Rafael Xavier

Summary

I am a data scientist holding a Masters degree in Economics. I have 7+ years of experience working with statistical and machine learning models, involving projects in public policy research as well as in consulting.

I work at Mercado Libre, Latin America's largest e-commerce site, as a Data Science Technical Leader. Prior to that I built and led a data science team at one of Uruguay's largest consulting firms.

Current projects

I enjoy building tooling for data scientists. My team built Embedding Encoder, a scikit-learn compatible transformer that leverages neural network embedding layers to process categorical variables, and I'm currently working on Poniard, a scikit-learn companion library that streamlines model evaluation.

Past projects

I built econuy, a data retrieval and processing library for Uruguayan economic statistics. I also built a Flask/Plotly Dash frontend hosted at econ.uy that's been online since mid-2020.

Pinned Loading

  1. poniard poniard Public

    Streamline scikit-learn model comparison.

    Jupyter Notebook 146 9

  2. cpa-analytics/embedding-encoder cpa-analytics/embedding-encoder Public

    Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.

    Jupyter Notebook 41 7

  3. cpa-analytics/pyech cpa-analytics/pyech Public

    A Python package to analyze Uruguay's ECH survey.

    Python 1 1

  4. econuy econuy Public

    Wrangling Uruguayan economic data so you don't have to.

    Python 25