juand5 / understanding-the-amazon-rainforest-from-satalite-images-with-computer-vision.

Multilabel classification problem using CNN with pytorch

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:

• Linkedin : Juan David García Castro