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arnavgangal/README.md

Hi! I'm Arnav. I am a Master's student at Stanford University, studying in Statistics and Data Science. I recently graduated from UCLA, where I majored in Applied Math, specialized in Computing, and minored in Statistics and Data Science. I have research experience in computational math, particularly in using physics-informed neural networks to solve partial differential equations.

I'm currently interested in competitive learning methods such as self-organizing maps (SOMs), deep generative models for synthetic datasets, and causal inference techniques. I am also interested in collaborative filtering recommendation. I have a particular love for sports data science, especially baseball analytics. I'm always interested in research or internship opportunities in data science and machine learning, and am reachable at [email protected].

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  1. danielfrees/finlitCausal danielfrees/finlitCausal Public

    Causal Analysis of the Financial Literacy Policy Impacts. Stats 209 Final Project at Stanford.

    Jupyter Notebook 1 1

  2. spcarney34/multiscale-pinns spcarney34/multiscale-pinns Public

    Jupyter Notebook 1

  3. the-data-science-union/DSU-S2022-MLB the-data-science-union/DSU-S2022-MLB Public

    Jupyter Notebook 1

  4. baseball-project baseball-project Public

    Final project for CS 236 - generating synthetic baseball images using Stable Diffusion

    Jupyter Notebook

  5. logistic_letterboxd_recommender logistic_letterboxd_recommender Public

    A Logistic Matrix Factorizer for Implicit Letterboxd Data

    Python 2

  6. Python-Console-Enigma Python-Console-Enigma Public

    Simple Console Enigma Machine

    Python