Developed an automated public health dashboard during the 2022 monkeypox outbreak to provide real-time case tracking. Built a fully automated ETL pipeline using AWS Lambda and Python to extract daily case data, transform it for analysis, and load it into a PostgreSQL database, eliminating manual data updates and ensuring stakeholders had access to current outbreak information.

Designed and built a multilingual sentiment analysis system to analyze 57,000+ internet meme instances across 82 languages. Developed a relational MySQL database schema and Python ETL pipeline to process text, apply NLP techniques for language detection, and calculate sentiment scores. Created interactive Tableau dashboards to visualize sentiment patterns across meme types and languages.