Pharmaceutical Data Automation & Analysis Project
This project involved automating and cleaning large datasets of pharmaceutical records. I utilized scripts and libraries to prepare data for analysis and potential machine learning applications. My work ensured that the data was structured and standardized for downstream models and dashboards. • Cleaned, validated, and standardized textual and tabular pharmaceutical datasets. • Used Python libraries such as Pandas and NumPy for data transformation tasks. • Developed repeatable workflows for ingestion and quality control. • Produced data ready for further annotation or analysis in healthcare projects.