Revenue Analytics, Inc.

• Build machine learning and AI solutions that support pricing, forecasting, and revenue management decisions in hospitality. • Analyze large, sometimes messy datasets to identify patterns, risks, and opportunities, and turn them into practical recommendations or product capability. • Write clean Python and SQL, working with data pipelines and analytical workflows to prepare, validate, and operationalize data. • Apply modern AI techniques, including LLMs and AI coding tools such as Claude Code, thoughtfully to accelerate prototyping, learning, and development while maintaining technical quality. • Partner closely with product, engineering, and cross-functional stakeholders to translate business problems into analytical solutions and communicate insights clearly.