Yeni Jung
Computer Science at University of Birmingham
Data Scientist specialising in end-to-end AI systems: from raw data pipelines through to production-ready deployment. My core experience spans NLP and LLM-based modelling (FinBERT, transformer architectures), time-series forecasting, and applied machine learning across commercial domains. Predictive systems I've built have reached 0.71 AUC; one delivered a 15% uplift in ROAS, a result that came from treating model quality and business context as inseparable problems, not separate ones. What drives my work is the gap between a promising experiment and something that actually ships. I focus on designing scalable pipelines, iterating quickly on ideas, and ensuring models create tangible value once they leave the notebook.