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deniztu/README.md

Hi, I am Deniz! 👋

💻 Data Scientist | 👥 Co-founder of paged | 🔬 PhD in Computational Neuroscience

I'm Deniz Tuzsus, a data scientist with a passion for solving complex problems at the intersection of technology, neuroscience, and psychology. I hold a PhD in Computational Neuroscience, where I explored human and machine reinforcement learning with artificial recurrent neural networks.

🚀 About Me

  • 🧠 Co-founder of paged: A startup focused on leveraging technology for the inclusion of neurodivergent people.
  • 💼 Data Science Enthusiast: I enjoy working with data to uncover insights, build models, and create meaningful solutions.
  • 🖥️ Programmer + Psychologist: My dual background in psychology and programming allows me to bridge the gap between understanding people and building technical solutions.
  • 👨‍💼 Communicator & Collaborator: I believe that being able to both code and communicate effectively is a key strength, especially when working with interdisciplinary teams.

💡 What I Do

  • Data Science & Machine Learning: Developing models and algorithms to extract actionable insights from data.
  • Full-stack Development: Building scalable and efficient solutions with a strong foundation in Python, R, and other tools.
  • Psychology & Human Behavior: Understanding how people think and interact, helping to design human-centered tech solutions.

🛠️ Skills & Technologies

  • Programming: Python, R, MATLAB, SQL
  • Machine Learning: Scikit-learn, TensorFlow, PyTorch
  • Data Visualization: Matplotlib, Seaborn, Plotly
  • Tools: Git, Docker, Jupyter, VS Code
  • Research Methods: Experimental design, statistical analysis, cognitive modeling

Feel free to check out my repositories or connect with me to discuss ideas and collaborations!

You can contact me on LinkedIn: https://www.linkedin.com/in/deniz-tuzsus/

Pinned Loading

  1. p1_generalization p1_generalization Public

    This repository contains code for my first paper comparing reinforcement learning between human learners and artificial recurrent neural networks.

    Jupyter Notebook

  2. p2_volatility p2_volatility Public

    This repository contains code for my second paper comparing adaptation of artificial recurrent neural networks in volatile reinforcement learning environments.

    Jupyter Notebook