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Nischalcs50/README.md

Hi there 👋

I'm a Water Resource Engineer and Researcher passionate about combining domain expertise with data-driven modeling. I work on hydrologic extremes, uncertainty quantification, and statistical modeling — with a particular focus on extreme value theory and non-stationary processes.

Pronouns: he/him

🔬 Current Interests

  • 🌊 Hydrologic extremes (floods, droughts) | 📈 Non-stationary extreme value modeling (GEV & GPD)
  • 🧠 Probabilistic modeling, MCMC, and model diagnostics | 🏙️ Urban floood modelling
  • 🧘 Advaita Vedanta and Upanishads

Reach me

🎉 Fun Fact

I love merging deep philosophy with computational modeling

Popular repositories Loading

  1. nsEVDx nsEVDx Public

    Modeling Nonstationary Extreme Value Distributions

    Python 9

  2. Nischalcs50.github.io Nischalcs50.github.io Public

    HTML 1

  3. Fitting-Non-stationary-Generalised-Extreme-value-to-Rainfall-Annual-Maxima Fitting-Non-stationary-Generalised-Extreme-value-to-Rainfall-Annual-Maxima Public

    Jupyter Notebook 1

  4. Nischalcs50 Nischalcs50 Public

    Config files for my GitHub profile.

  5. training-neural-networks-in-python-3215347 training-neural-networks-in-python-3215347 Public

    Forked from LinkedInLearning/training-neural-networks-in-python-3215347

    This is a LinkedIn Learning repo for Training Neural Networks in Python.

    Dockerfile

  6. jupyter-notebooks-NCEI jupyter-notebooks-NCEI Public

    Forked from NCEI-NOAAGov/jupyter-notebooks

    The notebooks in this section are designed to get users up and running on a dataset as quickly as possible. This should include connection to public data for the given dataset.

    Jupyter Notebook