Projects
Predicting Grocery Store Sales
The presented problem: The client would like to find a model that best predicts the unit sales for thousands of items sold at different Favorita stores.
The goals: As a more accurate forecasting for their grocery stores can decrease food waste, unnecessary spending, and improve customer satisfaction.
Customer Segmentation
The presented problem: There is a lack of understanding on consumer habits which is crucial as their expedited growth has started to slow down.
The goals: See influential variables that determine habits of consumers and create consumer groups based on their shared habits
User Song Recommendation System
The presented problems: The client wants to maximize listening of their most popular songs to increase revenue by promoting these songs to users and recommend other songs they can listen to and increase revenue by keeping users engaged on the platform.
The goals: Build a regression model to predict song popularity, so that popular songs can be identified right away and promoted to users. Build a recommendation engine to recommend songs, so that when a user is on the platform suggested songs can keep them actively listening.
