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WiseGeorge/README.md

Hi My name is Jorge Felix Martinez Pazos

Data Scientist 💻 & Artificial Intelligence Researcher 📄

I am a Data Scientist and Artificial Intelligence Researcher with over two years of hands-on experience in the field. I am an undergraduate student from the University of Informatics Science in Havana, Cuba, with a 4.70 GPA out of 5. My passion for continuous learning and innovation has led me to constantly research and develop cutting-edge software solutions. Currently, I am involved in several research projects that span a variety of domains:

  • Human Shoulder Simulation Using Finite Element Method
  • Machine Learning and Graph Analytics for Anti-Money Laundering Systems
  • Stellar Classification Based on Spectral Characteristics
  • Real-Time Food Freshness Classification
  • Computer-aided diagnosis of pneumonia-like lung diseases based on deep learning

My work is driven by a commitment to using artificial intelligence to solve complex problems and make a positive impact on society and environment. I am a conscious individual, motivated by the pursuit of my goals and the desire for continuous growth. My passion for learning and problem-solving abilities are key aspects of my personality. I am particularly passionate about astrophysics and space sciences, and I am constantly exploring ways to apply artificial intelligence in these fields. I value deep conversations and constantly find myself asking “why?”. This insatiable curiosity fuels my desire to learn and grow. There is never enough time to quench this thirst for knowledge.

  • 🌍 I'm based in Havana
  • 🖥️ See my portfolio at My Portafolio
  • ✉️ You can contact me at jorgefmp.mle@gmail.com
  • 🚀 I'm currently working at Havana Science and Technology Park
  • 🧠 I'm learning Bio Mechanic, Simulation & Finite Element Method
  • 🤝 I'm open to collaborating on Computer Vision, Computational Astrophisics, Anomaly Detection, Graph Analytics. Others Data Science related areas as well.
  • 🏆 Top 19 at the Schneider Electric European Hackathon on the Data Science Challenge: EcoForecast.
  • 🥈 Top 2 at the Natasquad Artificial Intelligence Hackathon.

Skills

PythonGitMongoDBMySQLPostgreSQLFlaskFast APIDockerTensorFlowPyTorch

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  1. X-COVNets X-COVNets Public

    Deep Convolutional Neural Network Models using Deep Transfer Learning through the Xception Architecture for computer-aided chest xray diagnosis

    2

  2. Google-Finance-Forecasting-Anomaly-Detection Google-Finance-Forecasting-Anomaly-Detection Public

    Google Finance Forecasting Using Simple Neural Networks & Anomalies Detection using ADTK. Dataset Aqcuired from Yahoo Finance.

    Jupyter Notebook 3

  3. Fashion-MNIST-DCGAN Fashion-MNIST-DCGAN Public

    Deep Convolutional Generative Advesarial Network For Fashion Mnist Image Generation

    Jupyter Notebook

  4. Monitoring-Emotional-Response-During-Mental-Health-Therapy Monitoring-Emotional-Response-During-Mental-Health-Therapy Public

    A system for monitoring emotional responses during mental health sessions.

    Python

  5. IIS_Module IIS_Module Public

    The intelligent integrated system for future crop recommendation, along with the comprehensive study conducted during its development, represents a significant advancement in the field of precision…

    Jupyter Notebook

  6. Intelligent-Integrated-System-for-Weather-Forecast-and-Crop-Recommendation Intelligent-Integrated-System-for-Weather-Forecast-and-Crop-Recommendation Public

    This system built on streamlit allows integrated climate forecast and crop recommendation.

    Jupyter Notebook