A practical toolkit across analytics, machine learning, applied AI, cloud deployment, and data product development.
Core tools I use to query, analyze, and structure data.
Turning raw datasets into dashboards, KPIs, and insights.
Building, evaluating, and explaining predictive models.
Fine-tuning, evaluating, and building around language models.
Deploying models, tracking experiments, and automating workflows.
Building usable interfaces and backend systems for data products.