gabridego/greenhouse-gas-emissions-dashboard

Visualization of greenhouse gas emissions over the years per country and economic sector, based on open data.

👋 Buongiorno!

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My name is Gabriele Degola and I am a software engineer with strong interest in AI, experienced in video streaming and computer vision. Currently working at CAMNET.

I am a graduate in Data Science and Engineering from Politecnico di Torino, Italy, and Grenoble INP - Ensimag, France, where I followed an Erasmus+ double degree lasting 18 months. I conducted my Master's Thesis at Neovision, focusing on the domain adaptation problem in computer vision, with title Approaches for Domain Adaptive Object Detection in Production Environments.

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🎓 My educations:

• Master of Science in Data Science and Engineering at Politecnico di Torino
• Master of Engineering in Information Systems Engineering at Grenoble INP - Ensimag, following a path in Data Science and Artificial Intelligence
• Bachelor of Science in Computer Engineering at Politecnico di Torino

🛠️ My coolest projects:

• A distributed big data pipeline of book reviews, performing word count and sentiment analysis
• Tackled the incremental learning in image classification problem through clustering and GANs
• A smart parking solution to detect free parking spots using deep neural networks and computer vision
• A cool dashboard of greenhouse gas emission per country and year, based on open data
• Implementation of kernel methods for image classification
• Used genetic algorithms to solve the examination timetabling problem

📫 How to reach me:

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🤠 Extra information about me:

🥾 I love hiking and walked the Camino de Santiago, French Way, in April and May 2022

📚 🎵 I enjoy reading and listening to a lot of music during my free time

🧘 I am a beginner in yoga, mindfulness and breathing