James Wilner

I've built housing price prediction models in Python, using feature engineering, regression, RMSE, and cross-validation to evaluate results.

For a bird sighting classification project, I cleaned and organised data, trained trees, random forest, XGBoost, and neural networks, then compared model performance through visualisations and written evaluations.

As a Statistics Teaching Assistant at the University of Auckland, I provided detailed feedback, helped students strengthen analytical problem-solving, and communicated statistical concepts to learners with varied experience.

I'm a Computer Science and Statistics graduate from the University of Auckland seeking a graduate Data Science or Analytics role where I can apply programming and statistical knowledge to real-world problems.