I'm Korver, a data scientist with a background in [brief personal context — e.g. "mathematics and software development"]. My BSc gave me hands-on experience across the full ML lifecycle, from exploratory analysis and model training through to containerised cloud deployment. ## What I work on My projects span three main areas: **Computer vision** — I've built image classification models for detecting F1 race incidents and segmentation models for measuring root growth in plant biology research. The latter led to a research study on how label quality affects model performance. **NLP and classical ML** — I've worked with text classification and emotion detection from transcribed speech, and with tabular predictive modelling for healthcare outcomes using a range of algorithms from logistic regression through to random forests. **MLOps and deployment** — I have hands-on experience deploying models both on-cloud (Azure) and on-premise (Portainer/Docker), including CI/CD pipeline setup and monitoring. ## Background [Add 2–3 sentences about yourself — where you're from, what drew you to data science, anything that makes you distinct.] ## Contact The best way to reach me is via [LinkedIn](#) or by email at [your@email.com](mailto:your@email.com). You can find my code on [GitHub](https://github.com/).