Hassan Alamriy

• Led cross-organization data science digital transformation initiatives, delivering high-impact data science
projects from concept to deployment.
• Orchestrated cross-departmental collaboration, optimizing resource allocation and accelerating project
delivery timelines.
• Overhauled and modernized the organizations core data processing workflows, replacing outdated Python
scripts with a scalable PySpark-based framework.
• Architected and coded two automated data ingestion and processing frameworks, integrating at least five
major datasets from multiple sources to ensure operational continuity in the absence of specialized resources.
• Provided executive-level advisory on statistical methodologies, analytics, and governance strategies to
strengthen evidence-based policy-making.
• Designed and delivered targeted training programs, enhancing statistical competencies across teams and
fostering a culture of innovation.

• Directed operations of the Data Hub, ensuring accuracy, security, and privacy in data collection, processing,
and sharing.
• Developed analytics and visualization frameworks to provide actionable insights to executives, influencing
strategic initiatives.
• Strengthened partnerships with internal and external stakeholders to expand and integrate diverse data
sources.

• Managed large-scale research and analytics projects in social and economic domains, from survey design to
AI-driven modelling.
• Built robust data governance and quality frameworks for diverse data sources, improving consistency and
reliability.
• Delivered consultancy on predictive analytics, machine learning, and enterprise data strategy.

• Designed and maintained executive dashboards to track product, sales, and marketing KPIs.
• Partnered with Data Engineers to optimize the data warehouse and enhance analytics capabilities.

• Led research program delivery for high-level decision support, ensuring methodological rigor and timely
execution.
• Produced actionable insights for senior stakeholders through advanced statistical modelling and visualization.

• Oversaw early phases of Teradata data warehouse implementation.
• Led data quality and governance efforts for retail banking, embedding automated analytics to optimize lead
generation and campaign targeting.

• Directed a team in mining, analyzing, and performing sentiment analysis on Arabic-language social media
content.
• Applied network analysis and NLP to derive insights from large-scale open-source datasets.

• Contributed to a GCC-wide transformation project, including KPI development, process engineering, and
statistical framework design.
• Established data methodologies aligning with international statistical standards.