8000 JuanD5 (Juan David García Castro) · GitHub
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Working from home
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Working from home
4 followers · 14 following
  • Factored
  • Bogotá - Colombia.

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Achievement: Arctic Code Vault Contributor

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Achievement: Arctic Code Vault Contributor

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JuanD5/README.md

Hi there my name is Juan David 👋.

I am machine learning engineer from Bogotá Colombia.

My main interests includes computer vision 👁️‍🗨️ and natural language processing 😛 and reinforcement learning 🤖.

Soft Skills :

  • English level B2 .
  • Python Programming best practices (clean, modular, ship reliable, scalable and efficient code) 🖥️.
  • Scrum and agile methodologies 🕰️.
  • Team work and leadership 👨‍🔬.
  • Written and oral communication ✏️.

My Technical Skills:

  • Python 🐍 : Scikit learn, numpy, pandas, scipy, OOP (Object Oriented Programming) .
  • Python visualization libraries 🐍: matplotlib, seaborn, plotly and bokeh.
  • Deep learning 🧠: Tensorflow-Keras and Pytorch. (Computer vision and Natural Language processing).
  • Machine learning 🤖: Supervised and unsupervised algorithms.
  • Math ➕: Linear algebra, calculus, probability and statistics.
  • Data Science 🧪: EDA (Exploratory Data Analysis), Data preprocessing, cleaning, analysis, feature selection, feature engineering , PCA (Principal component analysis).
  • Cloud services ☁️ : GCP. AWS, Azure.
  • Deployment 💻: Flask, Docker, FastAPI.
  • Databases 📔 : MySQL, PostgreSQL.

Techincal Skills I am learning at the moment:

  • Python 🐍 : OpenCV
  • Reinforcement learning 🤖.
  • Deployment 💻: Django, Pyspark, Hadoop, ApacheSpark.
  • Databases 📔: MongoDB.
  • Data visualization 👀: Power BI, Tableu.

🔭 I’m currently working on machine learning and deeplearning projects using Kaggle.

🤝🏻 I'm open for collaborations in Data Science and Machine Learning domains.

💬 Ask me about deep learning and machine learning.

📫 How to reach me:

Pinned Loading

  1. Understanding-the-Amazon-Rainforest-from-Satalite-Images-with-Computer-Vision. Understanding-the-Amazon-Rainforest-from-Satalite-Images-with-Computer-Vision. Public

    Multilabel classification problem using CNN with pytorch

    Python 1

  2. 1DOC3-multiclass-text-classification 1DOC3-multiclass-text-classification Public

    Text multiclass classification using EDA and machine learning algorithms.

    Jupyter Notebook

  3. RSNA-Pneumonia-Challenge-Detection. RSNA-Pneumonia-Challenge-Detection. Public

    Multiclass classification of chest X-ray images using machine learning in Matlab.

    MATLAB

  4. Machine-learning-projects Machine-learning-projects Public

    Different machine learning projects such as multiclass classification, regression, etc.

    Jupyter Notebook

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