Twitter Analysis

• Tech Stack: Python, HTML, CSS, Bootstrap, GCP(Pub/Sub, Dataflow, Data Studio, GAE, BigQuery)

Created a web‑based elastic application to provide the user with a detailed analysis of the sentiment of users on top 10 trending movies and songs with the help of Google Cloud Platform services.

Coded Pub/Sub routine to fetch 1000 tweets at a time from Twitter; used Dataflow for resource autoscaling and dynamic work rebalancing, reducing overall response time by 50\%; stored data in BigQuery table for efficiently displaying data in Google DataStudio.

Tested the scalability of web application by generating 10000 user requests with the help of Apache Beam.