Research

My research interests consist of: applied machine learning, hotel performance, relationship marketing, consumer behavior, and revenue management

Applied Machine Learning because I am fascinated with the computational nature of every discipline thanks to technological advancement

Hotel Performance since it is directly linked to the "bottom line" and is, therefore, the ultimate dependent variable

Relationship Marketing due to the advent of personalized service which will change the nature of service in the hospitality industry

Consumer Behavior since human psychology/sociology is fascinating in general

Revenue Management as it is the most data-driven component in the hospitality industry with plenty of opportunities for applied machine learning

Peer-Reviewed Publication

Conference Proceedings of Research

Smith Travel Research Market Study Competition

The Smith Travel Research Market Study Competition is a global competition where the university teams are given the task of analyzing a hotel market of a major metropolitan area of their choosing. Our team chose Seattle as our market where we examined both qualitative and quantitative data relative to the hotel market in which we then developed insight on how this data affected certain key performance indicators. We analyzed Seattle’s visitor segmentation, brand segmentation, hotel development, economy, ADR, RevPAR, and Occupancy and then presented our findings to industry professionals at the HX: The Hotel Experience Convention. This was an incredible experience for me personally due to the vast amount of knowledge I have gained in regards to hotel markets and from working diligently as a team all while traveling to the other side of the States in which I have not visited before. Not only did we get 2nd place but, we also all have gained a priceless experience from this as well.