1. Project Management & Data Analysis Reporting: Analyze and interpret complex datasets using Excel, SQL, Python, and R. Conduct diagnostic, descriptive, and statistical analyses to extract insights, applying critical thinking and problem-solving skills. Utilize SPSS for data analysis and reporting, ensuring data accuracy through effective database processing, KPI monitoring, and classification.

2. Database Optimization & Automation: Apply data mining techniques and develop scripts to automate data collection, processing, and analysis. Optimize database structures and propose technical solutions to enhance business operations and efficiency.

3. Register Data Modeling & Design: Create structured register data models to support predictive analytics, improve reporting, and enable seamless service integration. Align technical solutions with business goals to enhance data-driven decision-making.

4. Benchmarking & Best Practices: Analyze global register frameworks and methodologies to drive continuous improvement and innovation. Implement AI-powered validation techniques and automated statistical processes to enhance data accuracy and integrity.

5. Data Quality Assurance

6. Multi-Source Data Integration: Merge and analyze datasets from multiple sources to verify consistency and improve data reliability, supporting comprehensive decision-making.

7. Regulatory Compliance & Governance

8. Stakeholder Collaboration