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mmuhunn/README.md

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πŸ§‘β€πŸŽ“ Education

πŸ‡°πŸ‡· BSc Information Technology Management, Seoul National University of Science and Technology (SEOULTECH) πŸ‡¬πŸ‡§ BSc(Hons) Information Technology Management, Northumbria University

Currently, I am a research intern at the BIGBASE Lab, where I explore cutting-edge technologies in:

  • Data Engineering (ML Ops and Data Ops)
  • AI-focused Data Analysis
  • Large-Scale Data Management (Cloud and Distributed Systems)
  • Natural Language Processing (NLP)

πŸ’» Technical Skills

  • Programming Languages:
    Java
    Python

  • Libraries and Frameworks:
    TensorFlow
    Matplotlib

  • Tools:
    Git
    VSCode

  • Database Management:
    MySQL
    PostgreSQL


πŸ“– Current Research Interests

I am passionate about solving real-world problems through data and AI. My current research focuses on:

  • Designing efficient machine learning pipelines using ML Ops principles.
  • Exploring Natural Language Processing (NLP) applications for context-aware data analysis.
  • Managing and optimizing distributed systems for large-scale data handling.

🌱 Projects and Achievements

  • NLP-based Analysis of Tweets and News Articles:
    Worked on analyzing user reactions by evaluating the relevance between location-tagged tweets and news articles.

  • Data Preprocessing & Visualization Pipelines:
    Built robust pipelines using Python, Matplotlib, and TensorFlow to preprocess and visualize large datasets efficiently.


πŸ“« Let's Connect!

Feel free to explore my repositories and reach out for collaborations or discussions about data science, AI, and NLP! πŸš€

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