Automated extraction of instagram data using python scrapy and AWS EC2 instance and store the
data in MongoDb. Language:Python. Fetched historical tweets using Twitter Historical Power Track API and move the data from AWS S3
Bucket to Azure Blob. Also, converted python code to azure functions. Scraped artists data from Spotify using Spotify API and store the data in MongoDb using Python. Scraped artists tracks and metadata of each track from Soundcloud frontend using python and
selenium web driver. Data is stored in MongoDb.
Increased the effeciency of existing twitter sentiment analysis code from 75% to 86% using Random
Forest Classifier Algorithm.
Improved the existing time series forecasting code to reduce the variations to a great extent.