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AugusGuarna/README.md

Hi, I'm Augusto Guarnaccio πŸ‘‹

I am a senior Data Science student at the University of Buenos Aires (UBA), currently in the final stages of my degree and working on my undergraduate thesis. I specialize in bridging the gap between complex mathematical modeling and actionable data insights.

πŸ”­ Current Focus

  • πŸŽ“ Undergraduate Thesis: Definition of optimal routes in the batch picking problem & determining the optimal sequence for those routes executions.

πŸ› οΈ Technical Stack

  • Languages: Python (Pandas, Scikit-learn, PyTorch, Matplotlib, Seaborn), R, SQL, C++.
  • Modeling & Simulation: Modelica (Advanced RC circuit analogies and macroeconomic systems).
  • Core Skills: Statistical Analysis, Optimization Algorithms (Operations Research), and Machine Learning.

πŸ“š Academic Background

  • B.S. in Data Science (UBA): Expected graduation 2026.
  • This profile hosts implementations from core coursework, including Algorithm Design Techniques and Advanced Statistical Analysis.

πŸ“« Connect with me

Popular repositories Loading

  1. UBA-Algorithm-Design-Techniques UBA-Algorithm-Design-Techniques Public

    Algorithm implementations and problem-solving for the B.S. in Data Science curriculum at UBA.

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  2. Labo_grupo Labo_grupo Public

    Python 1

  3. UBA-Advanced-Mathematical-Analysis UBA-Advanced-Mathematical-Analysis Public

    A curated repository of rigorous proofs and analytical solutions for Advanced Mathematical Analysis..

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  4. competitive-programming-solutions competitive-programming-solutions Public

    A curated collection of competitive programming solutions. Focused on optimized Data Structures and Algorithms.

    C++ 1

  5. Multiclass-Neural-Architect Multiclass-Neural-Architect Public

    Implementation of a feedforward neural network for a multiclass prediction problem.

    Jupyter Notebook 1

  6. synthetic-image-detector synthetic-image-detector Public

    A deep learning binary classifier built on CLIP (ViT-L/14) and a custom linear head to detect AI-generated vs. real images. Developed and trained on StyleGAN2 and selfie datasets at UBA.

    Python 1