I focused on data normalization within a database to ensure consistency and accuracy across datasets. I utilized advanced language processing models to develop Python applications capable of performing sentiment analysis on news text and other data sources. This involved designing and implementing algorithms to extract meaningful insights from textual data, which helped in understanding public sentiment and trends. My work contributed to improving data quality and enabling more effective analysis and decision-making.

Handled the migration of patient and clinical data into a new database for a clinic. Ensured data accuracy and consistency, set up data mapping, and validated information to make it easily accessible for the healthcare team. Improved data management and efficiency in patient care.