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Achievement: Pull Shark

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qwillemse/README.md

Quinten Willemse

Computer Science & Engineering student at TU Delft. I build and ship ML-powered products end to end. Most of what I make starts as "could a model do this?" and ends as something you can actually use.

Featured projects

  • AutoScout24 Price Analyser - a Chrome extension (live on the Chrome Web Store) that rates how good a used-car deal is, backed by an XGBoost model trained on 730,000+ listings and retrained automatically every week.
  • Resell - a full-stack dashboard that ranks live listings by predicted resale profit, with an AI pass that flags lease, auction and damaged cars.

Tech I work with

Python JavaScript Java SQL · XGBoost scikit-learn pandas · Git SQLite

Currently

Looking for software internships and part-time / working-student roles.

Connect: LinkedIn

Popular repositories Loading

  1. autoscout-analyser autoscout-analyser Public

    Rates how good a used-car deal is on AutoScout24, using an XGBoost model trained on 730k+ listings. Chrome extension + ML pipeline, live on the Chrome Web Store.

    Python 1

  2. resell resell Public

    Local AutoScout24 flip-ranker. Predicts which listings are mispriced, plus an LLM vetting pass that flags lease/auction/damaged listings

    Python 1

  3. qwillemse qwillemse Public

  4. kdp-book-pipeline kdp-book-pipeline Public

    Python

  5. job-swiper job-swiper Public

    Python

  6. nightshift nightshift Public

    Issue-to-merge pipeline that works through a GitHub backlog overnight

    Python