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Achievement: Pull Shark

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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, passionate about the intersection of data, artificial intelligence, and business strategy 😊. As a Presales Data & AI Engineer on Devoteam's Google Cloud team, I've channeled this passion into a dynamic role where I develop and present technical solutions that solve real-world business problems, while also leading projects through the production phase.

Throughout my journey at Devoteam, I have collaborated on end-to-end projects, from identifying client requirements to implementing Generative AI and data analytics solutions with tools like Vertex AI and BigQuery. This path has also led me to earn key certifications, including the Professional Machine Learning Engineer and Generative AI Leader.

Building on a solid foundation in a double degree in Data Science and Telecommunications Engineering from UC3M, my goal is to continue shaping the future of AI, collaborating with teams to create solutions that are not only innovative but also efficient and scalable.

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.
  • 380 Credits, 5.5 years.
  • 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

    • Generative AI
    • Google Cloud Platform (Vertex AI, BigQuery, Conversational Agents)
    • 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