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alexandersvafdal/README.md

Hi there 👋

I’m Alexander Svafdal Guðmundsson, a Machine Learning Intern @Icelandair ✈️, ex-KPMG software developer, and MSc Data Science student at Reykjavík University.

I build data-driven systems, explore complex datasets, and develop apps that make life easier—currently working on a private app, Vigdís, for visual guidance of daily activities for parents and caregivers. 📱✨


💻 Tech Stack

  • Languages: Python, SQL, JavaScript
  • Data Science: Pandas, NumPy, Scikit-learn, PyCaret, Matplotlib, Seaborn
  • App Development: React Native (Expo), Supabase Auth
  • Tools / Platforms: Git, Jupyter, Docker, FastAPI
  • Interests: Time-series forecasting, anomaly detection, explainable AI (XAI), aviation analytics

📂 Selected Public Projects

  • PredictivePricePros – T‑786‑APDS 🏠
    University project built with Jan Babin as part of the Applied Data Science (APDS: T-786-APDS) course, taught by Dr. Christoph Lohrmann (RU, Spring 2025).

    • Airbnb pricing prediction pipeline using Inside Airbnb data
    • Scripts for data preprocessing, modeling, visualizations, and report
    • Optional Shiny dashboard for interactive exploration
      👉 https://github.com/jan-ba/T-786-APDS
  • Diabetes Prediction Project 🩺
    University project built with Jan Babin for the Machine Learning (T-504-ITML) course, taught by Dr. Christoph Lohrmann.

  • Borgarlína – Datathon 2024 🗺️ (🥇 First Place)
    Dashboard built during the Gagnaþon 2024 (Statistics Iceland) to analyze and optimize the Borgarlína public transport line.

  • HVDS Gagnathon 2025 – Team GagnaGöllarar 📊 (🥈 Second Place)
    Solution for the HVDS AI Gagnathon 2025 (Statistics Iceland).

  • Copernicus Hackathon 2024 Project 🌍 (🥉 Third Place)
    Hackathon project using Earth Observation data (Sentinel / Copernicus) for geospatial AI solutions.

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  1. Datathon_2024_Borgarlina Datathon_2024_Borgarlina Public

    Python 1