Ghazal Alghannam

• Generated weekly reports using data from ~10,000 students’ co-op employment statistics, supporting decision-making and improving co-op student employment outcomes.
• Improved data quality in the co-op administrative system by creating the 'Address and Job Titles Quality Report' through Excel, utilizing data from 200+ job postings.
• Led a project analyzing employment patterns of ~3,000 UW students in the psychology program compared with peers from other programs, leveraging R and Excel.
• Presented research findings with compelling visualizations, providing valuable insights for further improvement.
• Conducted a literature review on workforce trends to support strategic planning for university executive leaders.

Generated weekly reports using data from ~10,000 students’ co-op employment statistics, supporting decision-making and improving co-op student employment outcomes.
Improved data quality in the co-op administrative system by creating the 'Address and Job Titles Quality Report' through Excel, utilizing data from 200+ job postings.
Led a project analyzing employment patterns of ~3,000 UW students in the psychology program compared with peers from other programs, leveraging R and Excel.
Presented research findings with compelling visualizations, providing valuable insights for further improvement.
Conducted a literature review on workforce trends to support strategic planning for university executive leaders.

Developed an R script to analyze collected data from the ‘National Survey of Student Engagement (NSSE)’ improving data analysis efficiency in next survey iterations by 30%.
Leveraged SPSS and Excel to analyze data from 40 participating universities in the ‘Canadian University Survey Consortium (CUSC)’ surveys.
Generated 10 data analysis reports of the survey results in Excel, improving pattern detection by 20%.
Ensured compliance of the team's reports with quality assurance standards.

Developed 3 R scripts to clean, analyze, and visualize data collected from ~2,000 students in the ‘Foolish Wiseman’ research study.
Created an R script for data visualizations to generate a report of data collected from ~1,000 individuals in a research study.
Collaborated with international researchers in India and analyzed data from ~800 participants by creating an R script that improved data cleaning efficiency by 20%.
Conducted literature reviews on various topics across the psychology field and reported findings.
Collaborated with researchers to draft the study's manuscript, addressing ethical and confidentiality aspects.
Performed additional tasks, including study registration and survey building.

Researched the tactile perception distortion in individuals with Anorexia Nervosa and conducted a literature review of ~20 journal articles.
Developed a research proposal to address the distortion using virtual reality to bridge the gap between Psychology and Technology.