Develop independent analytical projects and digital products across credit-risk modelling, financial modelling, data-quality review, AI evaluation, prompt engineering, and research workflow design. Build reproducible notebooks, Excel models, Notion systems, evaluation rubrics, and practical templates that translate analytical methods into decision-ready outputs. Public evidence includes a Python/Jupyter probability-of-default and FICO-segmentation repository, a Notion AI Prompt Library, and products for analysts, founders, freelancers, and researchers.