I'm an AI/ML Engineer and Data Scientist based in Oslo, currently completing an MSc in Artificial Intelligence at Kristiania University College. I build machine learning systems focused on explainability — making AI decisions understandable and trustworthy. My work spans anomaly detection, predictive modelling, time-series forecasting, and computer vision.
Each project below ships with a live Gradio demo on Hugging Face.
- Insurance Risk Segmentation — K-Means + PCA over 678k French MTPL policies · live demo
- Applied Data Mining & Computational Vision — recommender + NLP + image processing + AR feature matching in one Space · live demo
- NYC Taxi PySpark Pipeline — Spark SQL over 2020–2024 trip data with a Gradio query explorer · live demo
- Heart Disease ML Pipeline — Logistic Regression vs Random Forest, side by side · live demo
- SPY Volatility Forecasting — CNN / LSTM / CNN-LSTM hybrid for forward realized volatility · live demo
- XAI Intrusion Detection — hybrid Autoencoder + One-Class SVM + Random Forest + XGBoost meta, with SHAP and LIME explanations · live demo
- Bank Customer Churn — Logistic Regression churn model with a live what-if calculator · live demo
- MSc Artificial Intelligence — Kristiania University College, Oslo (in progress)
- BSc Applied Data Science — Noroff University