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nifleisch/README.md

Hi, I'm Nils 👋

I’m a Machine Learning Research Engineer at Pruna, where I focus on making generative models smaller, faster, and more sustainable. Before that, I completed a Master’s in Data Science at TUM and EPFL, specializing in machine learning on graphs and cloud computing. This GitHub account showcases some of my hobby projects, which mostly revolve around data science and generative models.

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  1. madden-nfl-prediction madden-nfl-prediction Public

    Predicting NFL game outcomes using madden player ratings with a regression model. Project includes scraper for the website https://maddenratings.weebly.com/.

    R 3

  2. lauzhack-amazon-reviews lauzhack-amazon-reviews Public

    Framework for mining and analyzing issues from product reviews and interactive visualisation using plotly dash. Finalist project at Lauzhack 2023.

    Python 1

  3. joint-distribution-generator joint-distribution-generator Public

    A deep learning approach to generate data from a joint distribution defined by its marginals and their correlation.

    Python 1

  4. book-adaptation-analysis book-adaptation-analysis Public

    Created a comprehensive dataset on movies adapted from books and performed a statistical analysis to identify key factors contributing to the success of book-to-film adaptations.

    Jupyter Notebook 1

  5. bachelor-thesis bachelor-thesis Public

    I studied neural networks through the lens of mathematical optimisation and conducted numerical experiments to better understand why stochastic gradient descent works so well for neural networks.

    Jupyter Notebook 1

  6. approximate-bayesian-computation approximate-bayesian-computation Public

    Application of rejection sampling and markov chain monte carlo (MCMC) algorithms to approximate bayesian computation (ABC). The project includes application of ABC to model the pharmacokinetics of …

    Python