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This project analyzes data science salary trends using a Kaggle dataset. By examining factors like job titles, experience levels, and geographic regions, we provide insights to help job seekers and professionals understand salary patterns in the data science field.
The goal of this clustering project is to applies a K-Means Clustering machine learning model to segment customers based on their unique behavior. The outcome enables more impactful retargeting campaigns by employing personalized marketing strategies tailored to different customer segments.
As a data engineer working for political consultants whose clients are cash-strapped political candidates. They've asked for help analyzing loyalty trends in campaign contributions, namely identifying areas of repeat donors and calculating how much they're spending. Identify areas (zip codes) that could be sources of repeat campaign contributions.