I am passionate about data and have spent my entire professional career working with data analysis in the commercial departments of different companies, always using business intelligence tools. Now I have thrown myself into the wonderful world of programming, data analysis, Machine learning training algorithms, Neural Networks and Artificial Intelligence applications.
✨Languages, libraries & tools✨: 
Here are some ideas to get you started:
- 🌱 I've just finished a BIG DATA & MACHINE LEARNING bootcamp at CORE CDDE SCHOOL:
Contents included in the bootcamp;
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MODUL 1: PYTHON, GIT & GITHUB
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Git & Github: Agile working methodologies in the industry using git and pull-requests.
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Python: Functional programming. Linear Algebra. Python Advanced data structures. Python Unit Testing.
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MODUL 2: SQL & DATA ENGINEERING
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PostgreSQL.
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MongoDB & MongoDB Atlas.
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Pandas y Numpy.
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Matplotlib.
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Seaborn.
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MODUL 3: DATA ANALYTICS & CLOUD COMPUTING
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Data augmentation.
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Web Scraping con Selenium.
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HTTP protocol.
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APIs REST.
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FastApi.
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OAuth2.
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Apache Kafka.
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Docker.
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Kubernetes.
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Arquitecturas ETL.
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Apache Spark.
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Apache Airflow.
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MODUL 4: MACHINE LEARNING & NEURAL NETWORKS
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Supervised and Unsupervised Learning.
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Training algorithms: Linear Regression, Logistic Regression, K-Means, RandomForest, etc.
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Sklearn - https://scikit-learn.org/stable/.
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Supervised and unsupervised evaluation metrics
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Hyperparameter optimization.
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AutoML.
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Tensorflow and Keras..
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Train neural networks with different topologies.
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Convolutional Neural Networks for image classification.
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Autoencoders.
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MODUL 5: IA & MACHINE LEARNING APPLICATIONS · IA & Aplicaciones de Machine Learning
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OpenCV for identification and facial recognition.
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Audio Processing.
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Recurrent Neural Networks applied to Natural Language Processing (RNN for NLP).
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🏢 I'm currently in the commercial department of an e-commerce belonging to a worldwide tourism group, at TUI GROUP, https://www.tuigroup.com/en-en.
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📫 How to reach me: [email protected]