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NateLee2030/README.md

ELV Optimization & Digital Twin Projects

Welcome to my GitHub! This repository showcases my work in End-of-Life Vehicle (ELV) optimization, market data mining, and digital twins for the automotive industry.

๐Ÿš— About Me

I'm passionate about leveraging data analytics and digital technologies to streamline scrapyard operations, predict part values, and enhance the sustainability of vehicle life cycles. I use a mix of Python, SQL, NLP, web scraping, and data visualization to solve complex problems and create smarter solutions.

๐Ÿ“Š Whatโ€™s Here

This repository contains various projects focused on:

  • Operational Analytics: Streamlining scrapyard logistics, tracking parts, and optimizing vehicle dismantling.
  • Market Data Mining: Predicting part values, analyzing resale insights, and tracking demand trends.
  • Digital Twin Models: Exploring ways to model and optimize the ELV lifecycle using digital twin technology.

โš™๏ธ Technologies Used

  • Python
  • SQL
  • NLP (Natural Language Processing)
  • Web Scraping (BeautifulSoup, Scrapy)
  • Data Visualization (Matplotlib, Seaborn, Plotly)

๐Ÿ“ˆ How to Contribute

Feel free to open issues or submit pull requests. Contributions to improving scrapyard operations or exploring ELV-related analytics are always welcome!

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