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I have a degree in Production Engineering and I develop digital solutions that aim to optimize and automate processes.

In order to make theoretical engineering knowledge more accessible, I develop educational repositories on GitHub with solved examples, commented code, and step-by-step explanations, focused on optimization and efficiency problems. My goal is to reduce the gap between mathematical theory and practical application, helping students, professionals, and researchers to actually use these tools.

Your sponsorship makes it possible to dedicate more time to creating new content, keeping materials updated, and expanding the project to more languages ​​and applications.

If this work has already helped you — or could help others — please consider supporting it 💙

@rodrigo-cl-porto

Be able to publish more educational content about practical problem solving with Operations Research techniques.

Featured work

  1. rodrigo-cl-porto/Operations-Research-with-Python

    Repository of Python notebooks developed during my Teaching Initiation Project in the Operations Research course, taught by Professor Diogo Ferreira de Lima e Silva.

    Jupyter Notebook
  2. rodrigo-cl-porto/Solving-LinkedIn-Games-by-Linear-Optimization

    Repository of Jupyter Notebooks presenting examples on how to solve LinkedIn minigames by using Python libraries, such as Pyomo, for mathematical modeling, and NetworkX, for graph modeling.

    Jupyter Notebook
  3. rodrigo-cl-porto/User-Defined-Functions

    Repository of user-defined functions (UDFs) developed for VBA and Power Query (M Code) languages

    M 1

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