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Introduction

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.

Professional Summary

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.

Skills and Technologies

  • 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

Projects

TreeModelVis

  • 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

StatisticalRebalancing

  • 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

Contact Information

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

Itay Ben Dan's Projects

bdi2357 icon bdi2357

Personal README for Github profile.

coverletter icon coverletter

Creating cover letter based on description, resume, CV, prompt

docs icon docs

TensorFlow documentation

optimalhorizon icon optimalhorizon

Optimal Horizon: Strategic Investment Framework for Maximized Risk-Adjusted Returns

personalviews icon personalviews

My views regarding different aspects of life. Trying to reflect data centric approach together with robust reasoning methods

qna icon qna

Evaluation of Documents LLM Q&A using Langchain OpenAI as well as other models

qna_examine icon qna_examine

Evaluation of Documents LLM Q&A using Langchain OpenAI as well as other models

statisticalrebalancing icon statisticalrebalancing

This repository contains the implementation of various rebalancing strategies for handling imbalanced datasets in binary classification tasks. The focus is on comparing the performance of different imputation methods and evaluating the effectiveness of different rebalancing approaches.

treemodelvis icon treemodelvis

A versatile Python toolkit for visualizing and customizing tree-based models, including decision trees and ensembles like Random Forests and Gradient Boosting. Designed for easy integration with scikit-learn, TreeModelVis offers enhanced interpretability and detailed visualization capabilities for model analysis and presentation.

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