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willdemelo/README.md

Welcome!

My name is Will, and I am a graduate student in UCSD's Computational Social Sciences (CSS) program.

I specialize in machine learning methods, statistical analyses, and package development, all of which are supported my background in social science research. I'm well versed in all stages of the data lifecyccle, and my applied research skills let me explain not just if and when trends occur in data, but also why.

I am currently studying machine learning methods in order to contribute to the DeepVerse series of neural network projects. Specifically, I am constructing test functions for the deployment of DeepComplete, which utilizes an adversarial autoencoder to impute missing data.

Please see my projects below, or connect with me me on LinkedIn.

Also, find a more in-depth profile on my personal website!

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  1. Machine_Learning_for_Emotional_Intelligence Public

    A proof-of-concept for an emotional intelligence tool. Programmed in Python.

    Jupyter Notebook

  2. Predicting_Depression_in_Florida Public

    A series of models using SimplyAnalytics' county data to predict depression statistics in Florida. Programmed in Python.

    Jupyter Notebook

  3. Replication_Study_Suk2023 Public

    A group scientific replication effort conducted using HTML for data collection and R for analysis.

    HTML

  4. International_Trade_vs_Pollution Public

    A write-up comparing the relationship between international trade and pollution using various visualization techniques. Programmed in Python.

    HTML 1

  5. willdemelo.github.io Public

    This is my personal website. You can read about my interests and experiences here.

    HTML

  6. Predicting_Philippine_Drug_Violence Public

    A write-up on the use of a negative binomial model to predict drug-related deaths in the Philippines.