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@guillermo-navas-palencia
guillermo-navas-palencia
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Guillermo guillermo-navas-palencia

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Statistics, optimization and special functions.

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LinkedinBlog

Hi there 👋

Hello, I'm Guillermo Navas-Palencia, a quant and numerical optimizer based in Madrid, Spain.

Guillermo's GitHub stats

Interests 📚

  • Python and C++
  • Quantitative Finance
  • Mathematical optimization

Jobs 🔥

  • Credit risk modelling
  • Credit investment
  • Structured Finance
  • Credit derivatives
  • Fixed-income securities

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  1. optbinningoptbinningPublic

    Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual explanations.

    Python 482 108

  2. cpriorcpriorPublic

    Fast Bayesian A/B and Multivariate testing.

    Python 36 7

  3. clogisticclogisticPublic

    Logistic regression with bound and linear constraints. L1, L2 and Elastic-Net regularization.

    Python 33 5

  4. ropwrropwrPublic

    Robust piecewise regression

    Python 12 1

  5. gnstlibgnstlibPublic

    Numerical library for fast and accurate computation of special functions

    C++ 2

  6. normal-inverse-gaussiannormal-inverse-gaussianPublic

    Implementation of the Normal Inverse Gaussian (NIG) distribution

    C++ 2


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