Airline Loyalty Data Service and Predictive Modeling

Implemented a customer lifetime value (CLV) prediction model based on loyalty points, contributing to the improvement in customer segmentation products.

Worked on extracting loyalty KPIs and creating visualizations using Qlik Sense. I built a data pipeline from the ground up using PySpark tailored specifically for analytical use cases. Optimized the data model for storing on Apache Hive.

Collaborated with a consultancy team to deliver simulation projects and conduct in-depth analyses focused on exploring alternative strategies for increasing engagement.

Developed, during the COVID-19 crisis, a recommendation tool geared toward increasing passenger engagement. This tool was centered around non-air loyalty items and utilized the ALS Library.

Built a profile update-based fraud prediction and monitoring tool for loyalty.