Data analyst and independent consultant transitioning into applied data science, specializing in automation and practical ML systems. Built and deployed models across churn prediction, route optimization, and medical plausibility scoring, cutting manual workloads by hours and reducing audit/validation errors by up to 80%. Focused on converting messy operational data into reliable pipelines, scalable tools, and high-accuracy models.

End-to-end analytics, model deployment, and habit-driven productivity systems.

Developing Data Intelligence — a dataset augmentation and audit tool for data scientists. Also exploring cloud LLM deployment pipelines for enterprise workflows.