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Achievement: Pull Shark

Achievements

Achievement: Pull Shark

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alejo-gonzalez-garcia/README.md

Welcome to My GitHub Profile Animación de ejemplo

About Me

Hi, my name is Alejo González Garcia, I am a student in the penultimate year of the 1st promotion of the dual bachelor in data science & teleco. Technology enthusiast, passionate about cars and motorsport. Strategy lover, methodical, with high capacity to work under pressure and responsibility. Good communication skills, great desire to learn, work as a team and develop in the professional world.

Education

  • 🎓 Double Degree in Science and Data Engineering / Telecommunication Technologies
  • First promotion of the degree, completly new and in English.
  • University Carlos III of Madrid (Bachelor link).
  • Machine Learning, Artificial Intelligence, programming in different languages and environments, digital business models, cybersecurity for data and telecommunications, as well as cloudsolutions for computing and storage, among others.
  • Broad overview of applications in the field of data analysis and secure storage.
  • Understanding of the different networks layers and communicaton channels.

Skills

  • Data Science

    • Machine Learning
    • Data Analysis
    • Statistical Modeling
    • Natural Language Processing
    • Data Visualization
    • Optimization

  • Telecommunication Technologies

    • Networking
    • Wireless Communication
    • Signal Processing
    • Radio Frequency
    • Cloud

  • Programming Languages

    • Python
    • Java
    • C
    • R
    • VHDL

  • Tools & Frameworks

    • TensorFlow
    • PyTorch
    • Scikit-learn
    • SQL
    • Gurobi
    • HTML
    • CSS
    • Spark
    • SpaCy
    • Gensim

  • Personal Interests

    • Motorsport
    • Formula 1
    • Strategy
    • Hardware & Computers
    • Science and Data Exploration
    • Crypto
    • Business & Investments

Feel free to explore my repositories and don't hesitate to connect! 🚀

Pinned Loading

  1. Text-Preprocessing-Vectorization-and-Classification-applying-NLP Text-Preprocessing-Vectorization-and-Classification-applying-NLP Public

    We have performed a multi-class classification task of literary poems, which will be assigned to a period. Raw data has been collected from the web and processed the in order to apply Natural Langu…

    Jupyter Notebook 1

  2. Linear-Optimization-of-F1-Wind-Tunnel-Budget-Assigment-of-the-FIA Linear-Optimization-of-F1-Wind-Tunnel-Budget-Assigment-of-the-FIA Public

    On this optimization problem we are the FIA and we have optimized the budget assignation that the F1 has to do each season by using Wind Tunnel data. Depending on the cost of each piece and the tim…

    HTML 1

  3. Understanding-Calibration-in-CNNs Understanding-Calibration-in-CNNs Public

    Explored calibration in Convolutional Neural Networks (CNNs) using the CIFAR-10 dataset, focusing on binary classification of birds and cats. The project encompasses data preprocessing, model train…

    Jupyter Notebook 1

  4. Microprocessors-Autonomous-Robot-STM32L Microprocessors-Autonomous-Robot-STM32L Public

    We have developed an autonomous wheeled robot using STM32L, that is capable of traveling through the floor avoiding obstacles and varying its speed. We can control the speed at which it travels and…

    C 1

  5. Bayesian-Analysis-Formula1-Circuits-RStudio- Bayesian-Analysis-Formula1-Circuits-RStudio- Public

    The prediction of a pit stop depending on the circuit based on bayesian and frequentist techniques

    HTML 1

  6. Deep-Autoencoder-based-on-Dense-Neural-Networks Deep-Autoencoder-based-on-Dense-Neural-Networks Public

    In this project we have developed a Deep Autoencoder using Dense Neural Networks to perform dimensionality reduction on MNIST and FMNIST datasets. The project includes training, saving, and evaluat…

    Jupyter Notebook 1