Nkiruka Nancy Obi

I am a data analyst and early-career researcher with a Distinction MSc in Computer Science from the University of Hertfordshire and a BSc in Agriculture from the University of Port Harcourt. My work sits between AI and precision livestock farming, using computer vision and machine learning to turn video of animals into measurable welfare indicators. My MSc dissertation developed and evaluated a framework for analysing poultry behaviour using the PIO dataset. I compared YOLOv10 detectors, tracked birds across video, annotated behaviours in BORIS, and classified them using Random Forest and XGBoost. The work showed that quantitative welfare indicators are feasible, while being clear about the need for stronger tracking validation and welfare-specific ground truth before real-world use.

I have also completed a Data Analyst internship with Amdari, using Python, Pandas, NumPy and Power BI to clean, analyse and visualise data. I have done freelance AI data annotation work too, which gave me a close understanding of how data quality affects model performance.

I am looking to collaborate on projects in agriculture, animal welfare and data analysis, where careful, well-documented work can make a practical difference. I am particularly interested in open, reusable research and in communicating results clearly to non-technical audiences.