cutomer-segmentation

End-to-end Python & SQL churn analysis pipeline built on 1,000+ customer records. Features database integration, exploratory data analysis, and stakeholder-ready Matplotlib/Seaborn visualizations uncovering revenue risk and key retention drivers.

Analysis of an E-Commerce customer database that lists purchases made by over 4000 customers over a period of one year, developed a model that allows to anticipate the purchases that will be made by a new customer, during the following year, from its first purchase.

This project involves a comprehensive segmentation analysis for Hotel Maria, a four-star hotel located in Lisbon, Portugal. Using a dataset covering three years (2015-2018), the goal is to identify distinct customer segments to help management develop personalized offerings and improve marketing efficiency.

An end-to-end data analytics project using SQL and Power BI to analyze digital music store performance. Features optimized queries and interactive dashboards to uncover regional sales trends, customer loyalty patterns, and genre-specific insights.