محمد أبرار

• Accomplished a unified CRM and KPI reporting system across Travel & Tourism and Events divisions, as measured by
automating 80% of previously manual coordination and creating a single source of truth for operational reporting, by
designing a dimensional data model in MySQL integrating scheduling, campaign, and client data.
• Accomplished a 65% reduction in per-event coordination time (6 hours to 2 hours) across 500+ annual events, as
measured by operational time-tracking data, by building a scheduling and analytics system with automated workflows
and real-time notifications.
• Accomplished measurable gains in customer engagement (45%) and event attendance (38%), as measured by dashboard
adoption and usage tracking, by layering automated KPI reporting on top of the CRM model to track event ROI, client
acquisition cost, and team productivity.
• Accomplished reliable, trustworthy data across 8+ client websites and CRM systems, as measured by 99.2% uptime and a
60% reduction in vulnerabilities, by owning end-to-end data quality — debugging, testing, and query optimization.
• Accomplished alignment between technical delivery and stakeholder priorities, as measured by scoping and delivering 15
feature enhancements ahead of schedule, by partnering with 5+ international stakeholders to translate ambiguous
business requests into structured technical specs.
• Accomplished a 40% lift in online visibility and cut inquiry processing time from 3 days to 24 hours, as measured by web
analytics and support-ticket data, by delivering 3 corporate websites with integrated tracking and data-informed
workflow redesign.
Tech Stack: Python, Django, MySQL, SQL, RESTful APIs, Google Analytics, Salesforce Integration

• Accomplished a 70% reduction in manual reporting overhead (4 hrs/day to 1.2 hrs/day), as measured by time-tracking on
facility data workflows, by designing and implementing a Python-based automated data monitoring system.
• Accomplished 45% faster query processing on operational datasets, as measured by benchmarked query execution times,
by optimizing configuration and refactoring underlying queries.
• Accomplished 98.5% system reliability and an 80% reduction in critical bugs, as measured by post-deployment monitoring
and defect tracking, by running systematic debugging and validation testing across data pipelines.