Ardacan Dag
MBA Student
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Data Analyst
This project weaves together user stories, SQL data cleaning, and a robust data model to deliver a comprehensive overview and detailed visualizations.
This project navigates through A/B testing phases (hypothesis testing, data segmentation, and result interpretation) to optimize and innovate.
With quotes extracted, we embark on a journey to pinpoint the top 10 frequent authors, delve into author frequencies, and bring quotes, authors, and tags to life with enchanting word clouds. Our voyage peaks with sentiment analysis within the collected quotes.