Hello, I'm Md Abu Raihan Chowdhury

From Chaos to Clarity: Data Cleaning and US Tweet Extraction

For my data analyst capstone project, I conducted a sentiment analysis of the tweets originating from the US using Python in Jupyter Notebook. One of the challenges of this project was to clean the user_location and extract the tweets from the US. By including Excel in the workflow I effectively clean the data and extracted valuable insights.

Decoding the Twitter Pulse: Unveiling the Sentiments Shaping US Political Discourse

In this project, I have used the Global Political Twitter dataset obtained from Kaggle and the Twitter API for my project to conduct political sentiment analysis using the roBERTa model by Huggingface. Over 72,000 tweets that originated from the U.S. were extracted using intricate string manipulation. Please click here to learn more about the data cleaning process.

A Dynamic Dashboard for Volunteering Organization

I recently collaborated with Creative Reaction Lab (CRXLAB) on a data analysis project. CRXLAB educates, trains, and challenges black and latinx youth to become leaders in designing healthy and racially equitable communities. Keep up the good work, Creative Reaction Lab (CRXLAB).

For CRXLAB, I performed end-to-end data management, meticulously refining and organizing data to enhance quality and accessibility. I also designed a dynamic Google Sheets dashboard that offers easy access to essential key performance indicators (KPIs), enabling swift, well-informed managerial decisions.

Moreover, I streamlined data collection by implementing a Google Forms system, ensuring seamless data updates and convenient dashboard maintenance.

This setup will eliminate the future need to hire a data analyst to clean the data and update the dashboard. By the estimation of the client, this project saved them over 6000$.