Bio:

Rupam Priya is an accomplished professional specializing in Data Analytics, with a distinguished record of leveraging advanced data engineering, automation, and artificial intelligence to drive substantial revenue growth and operational excellence in the competitive resort and hospitality industry. With several years of high-impact experience, Ms. Priya has cultivated a specialization in architecting data-driven solutions, developing automated reporting frameworks, and implementing generative AI tools to solve complex business challenges. Her career is characterized by a consistent pattern of extraordinary achievement, evidenced by quantifiable financial gains, pioneering project leadership, and significant contributions to the field of data analytics.

In her pivotal role at Wynn Resorts, Ms. Priya has repeatedly demonstrated her exceptional ability to translate data insights into monumental business outcomes. She engineered and executed robust marketing initiatives that increased casino revenue by 14.5%, representing an incremental $4 million, securing a disproportionate market advantage during periods of low tourism. A testament to her technical and strategic prowess is her leadership in unlocking $10 million in recurring annual revenue by developing need-based marketing campaigns from inception through post-analysis. Furthermore, she spearheaded a cross-functional initiative involving five-plus national and international teams to redesign the company’s financial reporting infrastructure. By leveraging platforms like Snowflake, Databricks, and Tableau, she enhanced financial reporting efficiency by an unprecedented 94% through automation. Ms. Priya also architected a department-level analytical database that served as the single source of truth, which benchmarked reporting accuracy by 5% and formed the foundation for over seven data governance projects, substantially improving data integrity and decision-making across the organization.

Ms. Priya’s leadership extends beyond her official title into the realm of innovation and knowledge dissemination. She successfully ideated and implemented more than four new strategic initiatives, consistently presenting complex technical analyses to stakeholders in an accessible manner to highlight business impact. Demonstrating foresight in the application of emerging technologies, she independently developed and maintained an “AI Genie” space for non-technical teams, enabling them to answer ad-hoc data questions autonomously. She further engineered real-time automated ML Model Accuracy dashboards integrated into this AI environment, allowing for continuous monitoring of model performance and outliers. This initiative not only showcases her advanced technical skills but also her capacity to lead organizational adoption of cutting-edge AI tools. Her commitment to elevating her team’s capabilities is evidenced by her efforts to reduce the learning curve by 20% through the creation of comprehensive knowledge transfer documentation, shared code repositories, and step-by-step guides.