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nifleisch/README.md

Hi, I'm Nils 👋

I’m a Master’s student in Mathematics in Data Science at TUM, specializing on machine learning on graphs and cloud computing. Currently, I am working on my Master’s thesis with the DAML group, where I focus on applying generative models to hierarchical graphs. Besides my thesis, I am working as a backend developer at Articly, where we push the limits on AI-based audio products.

As I complete my studies at the end of this year, I am seeking new challenges and opportunities. If you’re interested, please feel free to reach out via mail.

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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 2

  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

  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

  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

  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

  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