- Develop machine learning models, including ridge, lasso, elastic net, random forest, and gradient boosting, to predict client metrics from data sets of over 10,000 clients, using Python, R, SQL, and libraries like pandas, numpy, and scikit-learn.- Analyze the relationship between revenues and client length of stay times, leveraging NLP and sentiment/NER analysis to incorporate feedback from client surveys and provide actionable insights.- Prepare detailed reports and visualizations of findings, presenting trends and recommendations to the engineering team and management for data-driven decision-making.

- Investigated the impact of the COVID-19 pandemic on high school students’ preparedness for college using statistical and econometric tools. - Analyzed survey data from over 12,000 students collected before, during, and after the pandemic, utilizing linear regression models in STATA.- Presented research results through Cornell’s Nexus Scholars Program, effectively communicating complex findings to an academic audience.

- Orchestrated the set-up, service, and breakdown of all elements of on-site buffets, receptions, and plated events consisting of over 200 guests.- Coordinated with the hotel’s culinary team to ensure safe and efficient food service for guest

- Led, organized, and instructed groups of over 100 children at a time ranging from 3 months to 12 years old.- Delegated leadership responsibilities and cleaning tasks to team members as a supervisor. - Directed rapid and efficient communication between team members and parents in a fast-paced environment.