I’m a motivated and aspiring data engineer/analyst enthusiastically expanding my skill set and ready to offer solutions to your data/programming/automation needs.
I have skills in database management, setting up ETL pipelines, and data representation as well as proficiency in the use of python, sql as well as basic web development (css, html, javascript, and Django).
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This project obtains a real world data set through scraping tens of thousands of Yelp reviews of Starbucks stores across the United States of America and attempts to derive insights and reveal correlations, if any, between customer satisfaction with the coffee chain and its recent financial performance by analyzing overall trends in customer satisfaction and using natural language processing to uncover finer details as to what is influencing sentiment.
The project can be viewed on my github here: https://www.twine.net/signin
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