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This GitHub repository contains the CliqueBait Digital Marketing Analysis project, utilizing SQL for comprehensive analysis of marketing campaigns, user engagement, product performance, and website interactions within the Clique Bait food app. The project offers actionable insights for optimizing marketing strategies in competitive landscape.
Explore valuable insights into the performance of a coffee chain across various locations, including key attributes such as Area Code, COGS, Profit, Sales, and more. Dive into sales trends, financial performance, and market dynamics.
The pilot project was a part of virtual internship by codebasics
Analyzed a dataset comprising over 1,000 products to reveal consumer preferences and identify e-commerce trends. Employed rigorous data preparation and analysis techniques to delve into the extensive product landscape on Amazon. Developed a recommendation system and performed sentiment analysis using machine learning.
Global Superstore Data Visualization Using Tableau
This repo is about actionable insights to boost your product and sales performance.