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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, I am Alejo, a final-year student in the Dual Bachelor’s Degree program in Data Science and Engineering and Telecommunications Engineering at UC3M (University Carlos III of Madrid), part of the first class in this innovative and challenging degree. This English-taught program offers a broad, interdisciplinary approach, allowing me to build a solid foundation across data science, telecommunications, and cloud computing.

Since starting my journey in cloud technologies, I've had the privilege of gaining hands-on experience as a Data Engineer Intern with @Devoteam, a @Google Cloud partner. This role has provided the chance to work with tools like Vertex AI, BigQuery or AutoML and to see their applications in real-world projects. Pursuing certifications has further improved my understanding of Cloud Architecture and Security, and I am eager to continue learning in this field.

In addition to technology, I have a longstanding passion for cars and motorsport, especially Formula 1, which has inspired some of my projects. My approach is methodical, and I aim to bring strategic thinking to my work, alongside a desire to keep learning and contributing to my team.

Motivated to grow within the fields of cloud computing, data science, and telecommunications, I am committed to working hard, learning continuously, and collaborating as a team.

Education

  • 🎓 Dual Bachelor 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! 🚀

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  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 2

  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