Insights from social data.
ROLE
Developer
TIMELINE
2021
BACKEND
Python + SQLite
This project extracts tweet data from a JSON file, stores it in an SQLite database, and analyzes key entities like hashtags and mentions. Using SQL and Python, it explores tweet engagement, visualizes top hashtags, and preprocesses text for a word cloud. It also applies TF-IDF analysis to identify important terms, enabling deeper insights into tweet content and patterns.
☝🏻 Running of code in Jupyter Notebook.
I'll be refactoring the codebase to align with best practices for maintainability.
Fast iterations can make up for a lot.