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Science of small things
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eisaacjc/README.md

Hello 👋, I'm Isaac Caballero

Data Scientist | Ph.D. Researcher in Quantum Computing

I build solutions to complex problems by applying a strong foundation in mathematics and computational modeling to advanced optimization and quantum algorithms.

eisaacjc

🔭 About Me My passion lies at the intersection of theoretical research and practical application. My work is grounded in a strong foundation in applied mathematics, which allows me not only to develop but also to understand the models behind the algorithms deeply.👨‍💻 Currently, my research focuses on Quantum Architecture Search (QAS).🌱 Always learning about Quantum Machine Learning and Advanced Multi-objective Optimization.💬 Ask me about Python, optimization algorithms, Qiskit, or how to approach complex computational problems.📫 The best way to reach me is via email: eisaacjc8@gmail.com🚀 My Tech StackThese are the tools and languages I use to transform mathematical theory into practical results, from simulation and modeling to quantum software development.


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  1. DeepGA-Analisis-Exploratorio DeepGA-Analisis-Exploratorio Public

    Comparaciones de DeepGA con el estado del arte.

    Jupyter Notebook 2

  2. eisaacjc.github.io eisaacjc.github.io Public

    Portafolio/Curriculum

    CSS 1

  3. ToLearn ToLearn Public

    Mini proyectos de Python para apender

    Jupyter Notebook

  4. ComputerVision ComputerVision Public

    Jupyter Notebook 1

  5. Advanced-Deep-Learning Advanced-Deep-Learning Public

    A repository for the academic material for the courses of Deep Learning I & II, Computer Vision I & II, MLOps.

    Jupyter Notebook 1

  6. Ciencia-de-datos-para-inteligencia-de-negocios Ciencia-de-datos-para-inteligencia-de-negocios Public

    Este es un curso para estudiantes de licenciatura en ciencias e ingenierías con los elementos básicos para hacer frente a problemas de ciencia de datos.

    Jupyter Notebook