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Hi, I'm Itay Ben-Dan, a Full Stack Machine Learning Engineer with expertise in end-to-end solutions, from data engineering and model development to deployment and maintenance. I excel in training agents 🕵️‍♂️ using large language models 🦙 , developing advanced forecasting methods, and building robust ETL pipelines and CI/CD workflows.

I am a Machine Learning Engineer and Researcher with extensive experience in sports ⚽, finance, and robotics 🤖. My expertise includes advanced data analytics, machine learning, and applying large language models for complex problem-solving. 🧠🔧 I specialize in training agents on LLMs, developing multi-agent systems, and creating robust ETL pipelines.

• Programming Languages: Python, R, C++, Java
• Machine Learning Frameworks: TensorFlow, PyTorch, Scikit-learn
• Data Analysis Tools: Pandas, NumPy, SQL
• Other Technologies: Docker, Kubernetes, AWS, Git, Linux
• Specialized Skills: Prompt Engineering, Agent Design, CI/CD Workflows, Advanced Forecasting Methods

• Description: A visualization tool for tree-based models that helps in understanding the decision paths and feature importances.
• Technologies Used: Python, D3.js
• Link: GitHub Repository

• Description: A tool for handling imbalanced datasets, featuring a statistical rebalancing method using probabilistic estimations from simple classifiers.
• Technologies Used: Python, scikit-learn, imbalanced-learn, pandas
• Link: GitHub Repository

• Email: [email protected]
• LinkedIn: Itay Ben-Dan LinkedIn Profile

Thank you for visiting my GitHub profile! Feel free to reach out if you have any questions or collaboration ideas.