Smartwatch Market Segmentation

In this project, consumer data encompassing general information, health metrics, purchasing habits, and marketing responsiveness was analyzed to formulate a targeted market recommendation within the smartwatch industry. By focusing on variables such as age, gender, and health factors, the aim was to pinpoint the ideal smartwatch buyer demographic. Utilizing SQL, Python, Excel, and PowerBI, the data was meticulously cleaned, transformed, and visualized. Leveraging advanced machine learning techniques including k-means clustering, multiple linear regression, and classification trees, a conclusive recommendation was made to guide marketing strategies in the dynamic landscape of the smartwatch industry. 

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