
I offer support in reviewing machine learning projects for students or professional in data science. My role involves thoroughly evaluating the projects, providing constructive feedback, and offering actionable recommendations for improvement.
I aim to help students refine their models, better methodologies, and making sure that overall quality and efficiency of their work. By offering insights into various aspects of the project, including data preprocessing, feature engineering, algorithm selection or building from scratch, model evaluation, and code optimisation, I strive to help students develop more effective and impactful machine learning solutions.