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Neatherblok/README.md

Hi 👋, I'm Ricardo de Deijn

A dedicated data scientist with a passion for innovation and research!

  • 🔭 I recently completed my Master of Science in Data Science at Minnesota State University, Mankato. During my academic journey, I explored cutting-edge intersections of data science and technology, focusing on projects that strengthened my expertise in Python, SQL, R, and machine learning. My research includes pioneering work on evaluating generative adversarial networks (GANs) using metrics like Signed Inception Distance (SID) alongside Fréchet Inception Distance (FID).

  • 🌱 I’m currently advancing my knowledge in machine learning, computer vision, and generative AI. I am especially interested in tackling challenges in real-time AI applications, algorithm optimization, and scalability.

  • 👯 I’m looking to collaborate on innovative projects in AI, computer vision, and data science. I thrive in cross-functional teams and am eager to contribute to meaningful technological advancements.

  • 🤝 I’m open to discussing research opportunities, especially in autonomous systems, real-time AI, and applications of GANs. I’m also keen on learning about the latest trends in algorithmic scaling and optimization techniques.

  • 📝 I share insights regularly on https://medium.com/@ricodedeijn

  • 💬 Ask me about my experience in building machine learning models for real-time applications, my contributions to generative AI research, or how my academic and professional journey has shaped my expertise.

  • 📫 How to reach me ricardodedeijn@gmail.com

  • ⚡ Fun fact I climbed 'Mont Ventoux' in France during a biking event to support Multiple Sclerosis (MS) research—combining my passion for adventure with a commitment to charitable causes.

Blog posts

Connect with me:

https://www.linkedin.com/in/ricardodedeijn/ https://www.kaggle.com/ricardodedeijn @ricodedeijn

Languages and Tools:

azure docker figma gcp git mssql mysql oracle pandas python pytorch reactnative scikit_learn seaborn tensorflow

Support:

Neatherblok



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  1. SnowDetection SnowDetection Public

    This project implements a snow detection algorithm for pedestrian safety, using a custom convolutional neural network with spatial attention. It leverages both real-world and synthetic datasets, an…

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  2. Data_Mavericks_2023 Data_Mavericks_2023 Public

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  3. Facial_Emotion_Detec Facial_Emotion_Detec Public

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  4. GANs_with_SID GANs_with_SID Public

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