Client: Media & Policy Research Firm
Tools: Tweepy, NLTK, BERT, Neo4j, Streamlit
Challenge:
Manual tracking of social sentiment across multiple regions limited real-time political insights.

Solution:

• Built Twitter and news crawlers using Tweepy and NewsAPI
• Performed sentiment analysis using BERT NLP models
• Visualized influencer networks via Neo4j and built dashboards using Streamlit
• Enabled alerts for spikes in negative sentiment or trending policy topics

Outcome:
Improved reaction time for campaign strategies. Used by 3 political agencies during national elections.