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jamie-dongjae/README.md

Hi, I'm Jamie Lee 👋

👨‍💻 About Me

  • 🎓 Graduate of BSc Computational Social Science, University of Amsterdam
  • 🔬 Focus: ML, NLP, data science, and applied AI, Business applications
  • 🧠 I turn messy real-world data into models and models into working products

🛠 Tech Stack

  • Languages: Python, JavaScript, SQL
  • ML / Data: pandas, NumPy, scikit-learn, statsmodels, XGBoost, Transformers (FinBERT), Ollama / RAG
  • Web / Infra: Flask, FastAPI, Jinja, Tailwind, SQLite, Azure, Docker, Git

🚀 Featured Projects

🎯 Application Tracker

Local-first job-application tracker I built during my own job search. Paste a posting URL and company / title / location are prefilled from the posting itself (ATS APIs → JSON-LD → heuristics); a plain Excel workbook stays the database; applications land as pins on a satellite globe. FastAPI + vanilla JS, 70 offline tests, CI.

Live Demo CI

🎓 Microsoft Dream Space — Digital-Literacy Platform (MVP)

Dual-sided ed-tech platform + a fully-local RAG tutor. Led the technical build.

Teacher Dashboard Student App

Machine Learning — organised by technique (BSc coursework, UvA 2024–25):

🔗 Links

📍 Amsterdam

Pinned Loading

  1. dream-space-digital-literacy-platform dream-space-digital-literacy-platform Public

    Dream Space — dual-sided digital-literacy learning platform (MVP). Microsoft Dream Space / De Codeerschool. Flask apps + local RAG tutor, live on Azure.

    HTML 1

  2. natural-language-processing natural-language-processing Public

    NLP — FinBERT sentiment, LDA topic modelling, VADER, TF-IDF, web scraping

    HTML

  3. supervised-machine-learning supervised-machine-learning Public

    Supervised ML — regression, regularization, XGBoost/ensembles, a neural net from scratch, model evaluation

    Jupyter Notebook

  4. time-series-forecasting time-series-forecasting Public

    Time-series forecasting — ARIMA, stationarity (ADF), ACF/PACF on COVID & Bitcoin

    Jupyter Notebook