DAG Projects

AI-based IVR allowing refugees to record queries, which are automatically transcribed, categorized, and routed to relevant units. Accessible via web interface and WhatsApp.

Developed AI models integrating socio-economic and vulnerability indicators for resettlement decision-making. Advanced Data Science Application for UNHCR Resettlement Program Optimization: Developed a Gradient Boosting Machine (GBM) model to predict the likelihood of successful resettlement outcomes for refugee cases.

Digitized 15+ manual processes, including refugee support and back-office operations, leveraging automation and cloud tools.

Introduced kiosks for refugees to update personal data using iris scans, reducing manual interviews.

Automated IVR system for refugees to book appointments with real-time confirmation.

Integrated refugee data with government systems to enable vaccine registrations.

Developed 50+ dashboards for real-time insights on program metrics and refugee status.

Unified multiple data sources for comprehensive analysis and reporting.

AI-driven system for automating refugee feedback processing using OCR and NLP.

Digitized process for refugees to apply for government utility subsidies.

Automated workflows for staff clearance and overtime approval.

Led cybersecurity initiatives, ensuring secure certifications for critical applications.

Developed encryption and anonymization protocols for secure refugee data management.

Migrated operational systems to Azure for scalability and resilience.

Enabled real-time health record validation through API integration with national health systems.

Partnered with Microsoft to provide IT and data training for refugees, promoting entrepreneurship.

Conducted 200+ staff training sessions on data analysis, cloud tools, and cybersecurity.