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14 followers · 4 following
  • Bank of America / UNC Charlotte
  • Charlotte, NC
  • 12:33 - 4h behind
  • LinkedIn in/ericphann

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ericphann/README.md

👋 Hello there!

My name is Eric Phann. I am currently a Business Analyst at Bank of America.
I am also a grad student in the Data Science & Business Analytics M.S. program at UNC Charlotte.

Please feel free to reach out -- I am always happy to connect! 😊

✨ About Me

I have a strong background in linguistics and foreign languages. I'm currently learning a lot about natural language processing (NLP) techniques and large-language models (LLMs). I'm interested in researching the dynamic between LLMs and sociolinguistics.

🎓 Education
  • M.S., Data Science & Business Analytics, UNC Charlotte (in progress)
  • Graduate Certificate, Applied Linguistics, UNC Charlotte (in progress)
  • B.S., Computer Science (AI, Robotics, & Gaming), UNC Charlotte
  • B.A., Spanish (Hispanic Studies), UNC Charlotte
  • Minor, Japanese, UNC Charlotte
📚 Research
🌟 Awards & Honors
✈️ Study Abroad
  • 🇯🇵 Tokyo, Kamakura, Aizu-Wakamatsu | Japanese urban history in the age of the shoguns | UNC Charlotte
  • 🇨🇷 San José, Limón, Cartago, Guanacaste | Spanish language & Costa Rican culture studies | UNC Charlotte
🌐 Languages
  • 🇺🇸 English | native
  • 🇰🇭 Khmer | heritage | conversationally fluent; reading/writing WIP
  • 🇪🇸 Spanish | fluent
  • 🇯🇵 Japanese | intermediate
💡 Interests
  • 💬 Linguistics & language learning
  • 👾 Video games
  • 👨🏻‍💻 Natural language processing

📝 Skills & Projects (WIP)

My Skills

Other packages and tools: TBD

Please see pinned repos below for projects!

Pinned Loading

  1. eCFR-title12_NER Public

    Fine-tuned NER models for banking and regulation texts, trained on eCFR Title 12 using manual and few-shot (GPT 3.5 v3) annotations.

    Jupyter Notebook

  2. recipe-relevancy-classifier Public

    Binary classification models to determine recipe relevancy trained using manually labelled Reddit comments from r/Cooking.

    Jupyter Notebook 1

  3. search-for-movie-plots Public

    Baseline models for searching for movie plots from Wikipedia articles. Techniques include BM25 (lexical search), bi/cross-encoding (semantic search), and retrieval-augmented generation (RAG) using …

    Jupyter Notebook

  4. calmcode Public

    a collection of notebooks for calmcode.io lessons (and more)

    Jupyter Notebook

  5. dsba6010-llm-applications/AgenticRAG-CharlotteEatz Public

    An agentic retrieval augmented generated (RAG) application to help foodies in Charlotte satisfy their culinary cravings.

    Python 3 1

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April 2025

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