•Developed algorithms in Python to accurately detect and label spikes in online chatter around UMG artists and classify the sentiment associated with them in order to help the marketing strategies team.
•Optimized SQL queries to extract relevant data from AWS PostgreSQL Relational Database Service.
•Built a dashboard to visualize online streaming and chatter time series plots to show the sentiment around each UMG artist using Tableau.
