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felipewhitaker/README.md

Hi there, I'm Felipe!

I am very interested in leveraging data to solve challenges.

  • 📂 This is my portfolio repository with a quick explation of public projects I have done!
  • 💻 I mostly use Python and its amazing packages, which I used to write a simple package for transforming Time Series to a tabular format for Neural Networks: tabular-time-series
  • 🏛️ I have used Julia for optimization problems during my Masters. Check out Machine Learning Under a Modern Optimization Lens and Decision and Risk Analysis repo.
  • 🌱 I love learning new concepts and contexts through challenges
  • 💬 Ping me for any data related challenge and I will love listening about it!
  • ❤️ Fun fact: I love 🎶 music and 🚴 cycling!

🎓 Education

I'm an Operations Research Master student at the Industrial Engineering Department of PUC-Rio where also completed my BsC in Industrial Engineering with minor in Risk Analysis.

💼 Experience

Currently I am focused on my Master's dissertation, but previously I have worked with Innoavation, Research, Processes Automation, Data Science and applied Machine Learning: you can check all of it on my LinkedIn profile.

Feel free to connect with me and reach me!

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  1. portfolio portfolio Public

    The collection of projects I have done over the years

  2. tabular-time-series tabular-time-series Public

    Tranform 1D time-series into tabular view independent (X) and dependent (y) variables

    Python 1

  3. decision_and_risk_analysis decision_and_risk_analysis Public

    Optimizing coverage and cost

    Jupyter Notebook

  4. mlopt mlopt Public

    Code and Presentations regarding the class IND2076 - Machine Learning Under a Modern Optimization Lens

    Julia 1

  5. digitalproductschool digitalproductschool Public

    Digital Product School 2023 AI track challenge

    Jupyter Notebook

  6. Lightning-AI/pytorch-lightning Lightning-AI/pytorch-lightning Public

    Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

    Python 27.4k 3.3k