I'm Guillaume, a data science with a background in full-stack developer.

I recently completed a 9-week intensive data science bootcamp, where I built hands-on projects using Python, SQL, machine learning, statistical analysis, and cloud-based data tools. Combined with my solid full-stack development background (Node.js, APIs, databases), I bring a unique perspective to data engineering and ML implementation.

A production-ready FastAPI backend for personalized music recommendations using KNN machine learning models.

Key Features:

• 🎯 KNN Models: Artist and album recommendations from MusicBrainz metadata
• 🎧 ListenBrainz Integration: Fetches user listening history and profiles for context-aware recommendations
• 🔔 ntfy Integration: Real-time notifications for recommendation events
• ☁️ Google Cloud Deployment: FastAPI on Cloud Run, PostgreSQL on Compute Engine, models in Cloud Storage
• 🐳 Containerized: Production-ready Docker deployment with cloudbuild CI/CD

Repositories:

• rec_o – Backend API (FastAPI, KNN, GCS, Cloud Run)
• rec_o-front – Streamlit frontend for testing and exploration

Beyond data science, I bring production experience in full-stack development:

Automation & Integration Projects:

• listenarr 🎧 – Python script syncing ListenBrainz top artists to Lidarr
• letterboxd-diary-remover 🗑️ – Automated movie diary cleanup
• sonarrtfy 📺 – Flask webhook grouping Sonarr episodes with ntfy notifications
• qbittorrent-autodel – Torrent cleanup automation

Web Applications:

• album-release – Album tracker with Spotify & Last.fm integration
• Multiple full-stack projects: tickethack, mymoviz, locapic, weather app, and more

• Languages: Python 3
• Data Analysis: Pandas, NumPy, SciPy, Scikit-learn
• Time-Series: ARIMA, SARIMA, Statsmodels
• Deep Learning: TensorFlow, Keras (Autoencoders)
• ML Tools: Joblib, Pickle, Sklearn pipelines
• Notebooks: Jupyter, Jupyter Lab
• Visualization: Matplotlib, Seaborn

• Google Cloud: Cloud Run, Compute Engine, Cloud Storage, Cloud Build
• Containerization: Docker, Docker Compose
• CI/CD: Cloud Build, GitHub Actions

• Frameworks: FastAPI, Flask, Node.js/Express
• Databases: PostgreSQL, SQLite
• ORMs: Psycopg, Sequelize
• External APIs: ListenBrainz, Spotify, Last.fm, Letterboxd, Sonarr, Lidarr, ntfy

• Web: HTML5, CSS3, JavaScript (ES6+)
• Frameworks: React, Streamlit, Next.js
• Styling: Tailwind CSS, Bootstrap

• VCS: Git, GitHub
• Environment: pyenv, virtualenv, dotenv
• Testing: Debugging, linting, pytest basics

• 🧑‍💻 GitHub
• 💼 LinkedIn
• 🌐 Portfolio