This article profiles Rupam Priya, another senior data analytics professional at Wynn Resorts. Rupam has participated in projects on automation, AI, and data engineering that go a long way toward redefining ways hospitality companies manage their information. Holding studies in business analytics and credentials in generative AI, Priya led initiatives from which millions of dollars in revenue were realized in much better forms of global reporting and self-service tools for non-technical teams. Her work illustrates innovation and the evolving role of data in hospitality.
Career Journey and Major Milestones
Priya’s interest in data analytics began during her Master’s program in Business Analytics at William & Mary, where she developed a strong foundation in translating data into strategy. While working in marketing analytics at Wynn Resorts, Priya led campaigns that increased casino revenues by 14.5%. This experience demonstrated the direct impact data analytics can have on business performance. Later, she spearheaded a global project to redesign the financial reporting system, which achieved a 94% efficiency gain through automation. Another milestone is building her department-level analytical database, which has become a single source of truth and improved accuracy across the board.
Original Contributions to the Field
Her most original contributions include the innovative use of “Databricks AI Genie” platform and real-time machine-learning accuracy dashboards. The AI Genie was built for non-technical teams—to ask data questions in plain language and get answers in the same way. The platform eliminated dependency on data specialists, significantly improving access to data insights for non-technical teams. Those dashboards monitor model performance continuously as more AIs get deployed. These dashboards play a critical role in maintaining model performance and reliability. What they really represent is a move toward self-service analytics and proactive AI management in an industry that’s never been particularly tech-heavy.
Impact on the Hospitality Industry
It has helped prove that automation and AI are not the sole domain of tech companies. Priya has set a standard for what can be achieved by improving reporting efficiency by 94% and making real-time decisions. Priya’s data governance projects have become a framework for other teams and even different companies. Furthermore, Priya’s initiatives reduced the learning curve by 20% through training materials, making it easier for other organizations to replicate her approach.
Recognition and Credentials
Priya holds a Master’s degree from William & Mary with a 3.81 GPA, which provided a strong academic foundation. Priya pursues Generative AI and Databricks certifications to stay up to date with fast-moving technologies, reflecting her commitment to professional growth. Being selected for the McKinsey Forward Program added value by validating the strategic aspect of Priya’s work. Beyond certificates, Priya is recognized for being entrusted with leading cross-functional and multinational projects.
Current and Future Work
Currently, Priya is extending the abilities of the AI Genie with the inclusion of more features about generative AI so that it becomes even smarter. Priya is focusing on predictive analytics to scale personalization of guest experiences. In the long term, Priya aims to continue bridging the gap between technical teams and business stakeholders, ensuring advanced analytics are made available, trusted, and helpful within hospitality as well as outside it.
Priya continued to stress the importance of accessibility in analytics. Her approach does not require building the most complex models; instead, it uses tools people actually use and highlights governance roles in ensuring data integrity, plus a plan to keep learning more, since her field changes every day.
Rupam Priya’s work reflects a professional who combines strong technical expertise with strategic vision. Her work frames not only her organization but also the hospitality vantage toward data and AI through democratization, accuracy, and scalability. Priya helps to build an environment where decision-making is based on facts as a standard rule rather than being the exception.