Hi, my name is

Sam Streumer.

Data Science & AI student at Saxion with hands-on experience in predictive maintenance, energy forecasting, and NLP. Currently seeking a third-year internship focused on machine learning and AI engineering.

Check out my work!

About Me

I'm a second-year Applied Data Science & AI Engineering student at Saxion. I got into this field because I wanted to actually understand how models learn, not just throw data at them and hope for the best.

Most of my experience comes from real projects. I interned at Scania's truck factory in Zwolle for seven months, doing predictive maintenance research through Saxion's Lectoraat Ambient Intelligence. After that I worked on energy forecasting for an EU sustainability project, NLP for the Dutch Land Registry, and right now I'm building computer vision models for the Politieacademie.

I also sit on the study program committee at Saxion and work part-time as a lifeguard and receptionist at SRO.

Here are some technologies I work with:

  • Python
  • PyTorch / TensorFlow
  • Scikit-learn
  • SQL
  • Pandas & NumPy
  • Streamlit / FastAPI
  • XGBoost / LSTM
  • NLP (BERT, TF-IDF)

Where I've Worked & Learned

DEC 2024 — JULY 2025

Data Driven Team Intern • Scania Zwolle

Worked within the Saxion Lectoraat Ambient Intelligence research group, stationed at Scania's truck production facility in Zwolle. Supported data-driven predictive maintenance research for the carrier systems that transport truck assemblies through the production hall. Created 50+ data visualizations using Python and Streamlit, and built interactive dashboards to help the team explore and present operational sensor data.

Python Streamlit Pandas Data Visualization Predictive Maintenance

Some Things I've Built

Drawing Recognition AI

Real-time sketch recognition that predicts what you're drawing as you draw it. 10 categories, live confidence scores — working on bringing it to the browser.

  • Python
  • Neural Networks
  • Linear Algebra

SERENE Energy Forecasting

Predicting energy generation and consumption for a sustainable community as part of an EU-funded research project. Four models compared, full-stack dashboard deployed.

  • XGBoost
  • LSTM
  • FastAPI
  • Streamlit

Kadaster Rechtsfeiten Challenge

Automating legal fact recognition in nearly 20,000 Dutch notarial deeds for the Land Registry. NLP pipeline built under strict privacy constraints.

  • Dutch BERT
  • TF-IDF
  • NLP
  • Scikit-learn

Get In Touch

I'm currently looking for a third-year internship (starting September 2026) focused on AI, machine learning, or data engineering. If you have an opportunity or just want to connect, feel free to reach out.

Say Hello