Pragmatic, analytical, and adaptable problem solver who works tirelessly to find digestible yet impactful solutions to complex issues through machine learning, data mining, and optimization techniques.
- Worked with faculty to monitor student progress during assigned labs.
- Assisted with topics such as introductory Python, R, Java, and data mining.
- Answered student questions once a week on a walk-in basis.
- Assisted peers with fundamental calculus, probability, and statistics coursework.
- Created dashboards using queries to a hospitality accounting database.
- Modeled revenue generation and budget forecasts.
- Visualized hotel performance data efficiently and effectively.
- Communicated findings from visualizations with hotel owners.
- From May to August 2019, worked with a student and faculty team to build a recommender system using machine learning algorithms for Disney World hotels.
- From May to August 2020, worked in a remote setting with a research team to optimize set cover algorithms in three dimensions and to refine and deploy a Major League Baseball swing shift model.
Python, R, Tableau
undefinedPCEP Entry-Level Python Programmer
PCEP Entry-Level Python Programmer
SAS 9.4 Certified Base Programmer