University of South Carolina
Master of Arts in International Hospitality & Tourism Management
May 2026Columbia, SC
- Cumulative GPA: 4.0
Albaraa Mesawi · Independent Researcher
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Education
Moravian University
Bachelor of Arts in Psychology; Minor in Philosophy
December 2021Bethlehem, PA
Experience
University of South Carolina
Graduate Instructional Assistant, Dr. Bendegul Okumus
January 2026 – May 2026Columbia, SC
- Audited, revised, and supplemented lecture presentations for an undergraduate hospitality course. Corrected errors and added context from source material before classroom delivery.
- Contributed to a mixed-methods hospitality study using food service reviews: data collection, methodology design, quantitative and reflexive qualitative analysis, and drafting the results and conclusion.
Certifications
Certificate links are included for review.
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Adult Mental Health First Aid USA
National Council for Mental Wellbeing · April 2026
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Bayesian Statistics
University of California, Santa Cruz · August 2024
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Google Advanced Data Analytics
Google · July 2024
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Revenue Management Certification (RMC)
RevME & STR · April 2024
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Advanced Business Analytics
University of Colorado – Boulder · October 2023
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Google Business Intelligence
Google · September 2023
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Professional Agile Leadership – Evidence-Based Management (PAL-EBM)
Scrum.org · July 2023
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Professional Scrum Master (PSM) I, II, and III
Scrum.org · March 2023
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Professional Scrum Product Owner (PSPO) II
Scrum.org · April 2023
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IBM DevOps and Software Engineering
IBM Skills Network · April 2023
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Six Sigma Green Belt
The University System of Georgia · August 2022
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Software Product Management
The University of Alberta · July 2022
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Google Project Management
Google · June 2022
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Data Analytics with Excel and R
IBM Skills Network · May 2022
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Applied Data Science with R
IBM Skills Network · May 2022
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Business Foundations
University of Pennsylvania – Wharton · May 2022
Skills
Research methods
Mixed-methods research; Survey design and psychometric measurement; Reflexive qualitative analysis; Evidence synthesis and meta-analysis; Risk-of-bias appraisal and sensitivity analysis.
Quantitative methods
Random-effects meta-analysis (REML and modified HKSJ intervals); Covariance-based structural equation modeling and confirmatory factor analysis; Bayesian statistics and Markov chain Monte Carlo (Gibbs sampling); Time-series models: AR, AR mixture, ARIMA, and SARIMAX; Convergent and discriminant validity testing.
Software and data tools
R; Python (Pandas, SciPy); SPSS; SQL (PostgreSQL); Excel; Git and Docker.