AI-assisted financial analysis for two of the world's largest cruise lines
An automated, auditable pipeline that turned manual financial report review for Royal Caribbean and Carnival Cruise into a repeatable process the consulting team could run on demand.
Alvarez & Marsal
Apr 2024 – Jul 2024
London, UK
Consulting × Travel & Leisure
The challenge
A&M's engagement with Royal Caribbean and Carnival Cruise required automated processing and trend analysis across large volumes of financial data, with a reliable way to upload and map incoming reports.
The approach
Implemented algorithms and machine learning models for automated data processing and trend analysis using Python (NumPy, Pandas)
Managed SQL and NoSQL databases (PostgreSQL, MongoDB) for efficient storage and retrieval of financial data
Developed the front-end UI in React.js and Redux for financial report upload and mapping
Used Docker and Kubernetes for scalable, reliable deployment
The impact
Manual financial report review became an automated, auditable pipeline the team could run repeatably across both clients
Data integrity and performance held up under large financial datasets across two enterprise engagements