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I aim to automate playlist creation for Moosic, a startup known for manual curation, using Machine Learning, while addressing skepticism about the ability of audio features to capture playlist "mood."
I cleaned and scaled data for 124 menu items, applying both hierarchical and K-means clustering to categorize these items based on customer preferences. This analysis allowed me to optimize the menu structure effectively. By leveraging the insights gained from clustering, I adjusted the menu offerings, which led to increased customer satisfaction.