Labor market professional and statistician with 7+ years of experience in official statistics, data analysis, and workforce planning across Abu Dhabi local government entities. Currently leading Labor Force Register oper…
Labor market professional and statistician with 7+ years of experience in official statistics, data analysis, and workforce planning across Abu Dhabi local government entities. Currently leading Labor Force Register operations and statistical production at the Statistics Centre Abu Dhabi (SCAD), delivering key labor market indicators aligned with ILO standards and international classifications (ISCO-08, ISIC). Proven track record in translating complex methodologies into automated workflows, coordinating cross-departmental data integration, and driving AI adoption strategy. Pursuing a Master’s in Applied AI at MBZUAI.
Lead Labor Force Register (LFR) operations and statistical production for Abu Dhabi, delivering official labor market indicators including employment, unemployment, and underemployment rates.
Mapped ~300 labor market indicators against LFR variables, producing a comprehensive producibility assessment used to guide register-based statistical transition strategy.
Recalculated and revised 10-year labor force time series (2014–2024), harmonizing classifications and weighting methodology to ensure historical consistency.
Translated logical statistical workflows into physical, automated processes aligned with the Generic Statistical Business Process Model (GSBPM) framework.
Maintained and updated the Emiratized glossary and reference classifications based on ILO definitions and ISCO-08 standards.
Prepared quality reports assessing reliability and consistency of produced statistics; provided consultations on statistical reports for internal and external stakeholders.
Served as AI Ambassador for SCAD, coordinating the GovGPT rollout, developing AI literacy measurement frameworks, and leading awareness sessions across departments.
Designed agentic workflows and automation solutions using UnifyApps to streamline statistical operations.
Lead Labor Force Register (LFR) operations and statistical production for Abu Dhabi, delivering official labor market indicators including employment, unemployment, and underemployment rates., Mapped ~300 labor market indicators against LFR variables, producing a comprehensive producibility assessment used to guide register-based statistical transition strategy., Recalculated and revised 10-year labor force time series (2014–2024), harmonizing classifications and weighting methodology to ensure historical consistency., Translated logical statistical workflows into physical, automated processes aligned with the Generic Statistical Business Process Model (GSBPM) framework., Maintained and updated the Emiratized glossary and reference classifications based on ILO definitions and ISCO-08 standards., Prepared quality reports assessing reliability and consistency of produced statistics; provided consultations on statistical reports for internal and external stakeholders., Served as AI Ambassador for SCAD, coordinating the GovGPT rollout, developing AI literacy measurement frameworks, and leading awareness sessions across departments., Designed agentic workflows and automation solutions using UnifyApps to streamline statistical operations.
Led the Health Workforce Supply and Demand Model project, directly contributing to Abu Dhabi’s Health Workforce Masterplan development.
Provided statistical analysis on healthcare workforce gaps, priority areas, and Emiratization trends to support strategic planning for a highly skilled healthcare workforce.
Played a key role in launching the ICU Upskilling E-learning Platform during the COVID-19 pandemic response, enabling rapid critical care training.
Initiated and led the Healthcare Professionals Data Quality Enhancement Initiative, improving reliability of workforce data used for planning.
Collaborated with finance and HR teams to align healthcare workforce data with medical training budgets and planning forecasts.
Led the Health Workforce Supply and Demand Model project, directly contributing to Abu Dhabi’s Health Workforce Masterplan development., Provided statistical analysis on healthcare workforce gaps, priority areas, and Emiratization trends to support strategic planning for a highly skilled healthcare workforce., Played a key role in launching the ICU Upskilling E-learning Platform during the COVID-19 pandemic response, enabling rapid critical care training., Initiated and led the Healthcare Professionals Data Quality Enhancement Initiative, improving reliability of workforce data used for planning., Collaborated with finance and HR teams to align healthcare workforce data with medical training budgets and planning forecasts.
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
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