Farah AbuAmra

• Cleaned, validated, and prepared healthcare datasets for analysis using Excel, SQL, and Python.
• Produced structured tables, summaries, and analytical outputs used in reporting and decision
making.
• Automated a recurring data processing workflow using Python, reducing processing time from
approximately one week to 31 minutes.
• Performed data quality checks and validation to ensure dataset accuracy and consistency.
• Documented data workflows and prepared clear analytical tables and supporting materials for
stakeholders.
• Translated analytical results into clear insights to support project reporting and planning.

• Directed a cross-functional team of 5+ trainees in analyzing 2.5B+ health records over 10 years.
• Designed SQL pipelines that improved data integrity by 40% and reduced processing time by
30%.
• Trained 5+ users on FARES EMR system, increasing data entry accuracy by 60% within 2
weeks.
• Collaborated with data science and pharmacotherapy teams to develop predictive models for
drug outcomes.
Relevance: Combines technical data management with EMR testing, validation, and user
support aligned with UNRWA system operations.

Collaborated with 471+ volunteers to execute nationwide awareness campaigns.
• Designed training strategies that improved chronic disease patient outcomes by 37%.
Relevance: Built strong communication and coordination skills, vital for end-user support roles.