Software Engineer II at Red Hat

Dipanshu Gupta  • Peerlist

Sentimental analysis of COVID-19 tweets to analyse the public sentiments regarding COVID-19 pandemic and lock-down. Created a Visualization Dashboard (https://bit.ly/tsa_teamFam) for visualising sentiments. 

Technologies used:
1) IBM Watson Tone Analyzer
2) Web Scrapping
3) Data Analytics using Pandas, Numpy and Matplotlib
4) Tableau
5) Full Stack (HTML, CSS, JavaScript and Bootstrap)

GitHub repository - https://github.com/SmartPracticeschool/SBSPS-Challenge-2598-Twitter-Sentiment-Analysis

This project was under IBMHackChallenge2020 and built under team of 3.


Sentiment Analysis of COVID-19 Tweets

Data visualization of app store data, needed by game developer to create app with better ratings. Predicting best combination of categories (genre, in-app purchase, rating etc.) for perfect game.

Technologies Used:
1) Python
2) Data Visualizing Libraries ( Matplotlib, Seaborn, Bokeh, Plotly)
3) Data Analytics Libraries ( Numpy, Pandas)