Healthcare Data Labeling & Clinical Data Annotation
Worked on healthcare and pharmacy-related datasets involving structured and unstructured medical data. Responsibilities included labeling and classifying clinical records, medicine names, stock status, diagnosis categories, and healthcare facility data. Performed entity annotation (drug names, quantities, conditions), data cleaning, and consistency checks to ensure high-quality training data for analytics and AI models. Managed datasets of 5,000+ records while following strict labeling guidelines, maintaining accuracy, and conducting regular quality validation to minimize errors and edge cases.