Stijn van der Pas

About Me

I'm Stijn, 20 years old and a Data Science student at Breda University of Applied Sciences. After completing my VWO diploma, I chose this field because I'm fascinated by how data can solve real problems.

Over the past few years, I've worked on diverse projects ranging from GPU-accelerated truck planning for Move Intermodal to computer vision systems for NPEC. What drives me is the challenge of tackling complex problems and creating solutions that make a real impact. I enjoy thinking end-to-end, from data analysis to a working system in production.

I work best in teams where I can collaborate on challenging problems. By taking on different roles in projects, from model development to deployment, I've built a broader understanding of the data science field.

Technologies and Domains I've Worked With

🧠 Deep Learning

CNN, LSTM, Transfer Learning

👁️ Computer Vision

U-Net, MobileNet, Segmentation

💬 NLP

BERT, Transformers, Whisper

🐍 Python

Pandas, NumPy, Scikit-learn

🗄️ Databases

PostgreSQL, Snowflake, SQL

📊 Visualization

Streamlit, Matplotlib, Seaborn

☁️ Cloud & DevOps

Azure, Docker, CI/CD

⚙️ Optimization

NVIDIA cuOpt, Route Planning

Projects

GPU-Accelerated Truck Planning

Optimization system for Move Intermodal using NVIDIA cuOpt API. Handles complex constraints for intermodal transport across Northwestern Europe.

NVIDIA cuOpt GPU Computing Optimization Python

🚛 View Project →

Chatbot Consumer Satisfaction Research

Mixed-methods research for Digiwerkplaats with 178 survey respondents and 7 interviews. Information quality identified as key driver of chatbot satisfaction.

Research Design Qualtrics Statistical Analysis Policy Writing

💬 View Project →

Plant Root Analyzer System

Complete computer vision system for NPEC with U-Net segmentation, root tracking, and cloud deployment. Achieved 11% SMAPE score for accurate root length prediction.

U-Net TensorFlow Azure FastAPI React

🌱 View Project →

Weather Shield Breda

LSTM-based system for ANWB to predict traffic incident severity based on real-time weather data. Achieved 92% accuracy with Streamlit dashboard.

LSTM PostgreSQL Streamlit TensorFlow

🌦️ View Project →

Multimodal Emotion Analysis Pipeline

Complete NLP system for Content Intelligence Agency: audio transcription with Whisper, emotion detection with RobBERT, and neural machine translation. 85% F1-score on Dutch content.

Transformers Whisper RobBERT Azure

🎭 View Project →

Bird Identification App

Computer vision system with MobileNet transfer learning for classification of 7 Dutch bird species. 95% accuracy with Figma prototype and A/B testing.

MobileNet Transfer Learning Figma TensorFlow

🐦 View Project →

NAC Breda Player Valuation System

Machine learning system for market value prediction of 14,445 professional football players across 41 leagues. RandomForest model with position-specific feature engineering achieved 76% accuracy.

RandomForest XGBoost Feature Engineering Pandas

⚽ View Project →