Professional with a strong background in GIS analysis and data science, aiming to leverage expertise in data analytics and machine learning within a security-focused role. Achievements include leading GIS projects that integrate advanced technologies for spatial data analysis and enhancing asset management systems. Proficient in programming languages such as Python and SQL, with experience in developing machine learning models and optimizing data pipelines for operational efficiency. Committed to utilizing analytical skills to drive insights and improve security incident response capabilities.
• Project Coordination: Lead GIS projects (Mannai 2024 CGIS GIS Technology Day, in which Ashghal won 1st position); Engineering Information Section, Engineering Service Department teams.
• Collaboration: Work with engineers and planners; communicate findings in BIM-GIS, schema integration (geometry and attributes), new database model re-engineering, etc.
• Strategic planning and management of GIS projects (roads, drainage, and buildings).
• Organizational Data Enhancement and Quality Study (Data Enhancement) • Roads and drainage infrastructure spatial data analysis: Roads 2, • • • • Drainage FSW 2, SGW 2, TSE 2, Building 2, Summary 2.
• GIS Automation and Scripting (CAD to GIS2).
• Quality control and quality assurance of PWA assets from editors and contractors (ws3 QAQC tool2).
Cycle lane, road navigation data, FIFA transport route updating for publishing to CGIS.
• Support the Innovation team and IT in understanding the Data Team's and Analysis needs, especially in tools development.
• Focal point of asset tagging for all assets in the enterprise asset management system.
• Part of the design and execution of large-scale data pipelines leads the team in ingesting infrastructure asset data into enterprise systems, aligning with Ashghal's utility digitization goals.
• Developed ETL processes for ingesting and transforming geospatial and tabular data (Excel, geodatabases, CAD, survey inputs) into centralized repositories and Azure-based platforms.
• Integrated GIS datasets (roads, lighting, signage, ducts) with backend systems using Python, SQL, and ArcPy, enhancing data accessibility for analytics and visualization.
Built validation tools and automated scripts to ensure data quality, profiling, completeness, and adherence to governance frameworks.
• Designed spatially enabled dashboards and Power BI reports to support planning, monitoring, and executive decision-making.
• Applied strong spatial data modeling practices, contributing to the design of data warehousing structures for critical asset layers.
• Collaborated with data governance teams and consultants to apply stewardship, metadata standards, and lifecycle control over infrastructure datasets.
• Participated in multi-agency workshops, aligning geospatial data submission and exchange with Ashghal standards across upstream and downstream projects.
• Maintained synchronization between digital platforms (SharePoint, interim databases, and enterprise GIS), and enhanced data discoverability and reuse.
• Resolved technical issues related to schema integration, asset tagging, snapping, and field matching using advanced troubleshooting skills.
• Familiar with Apache technologies such as Kafka, Spark, and Airflow through MSc AI coursework and certifications, with ongoing upskilling in orchestration tools.
• Familiar with Azure Databricks and Data Lake integration via MSc AI modules, and practical lab-based assignments relevant to real-world data engineering.
INFRASTRUCTURE (AEC - Architecture, Engineering and Construction), Geospatial Data and Database Re-engineering And Reinforcement For PWA-Workstream 3. Drainage and Roads. INFRASTRUCTURE (AEC - Architecture, Engineering and Construction), Data Enhancement and Data Migration to New Model - Public Works Authority (Roads, Drainage and Buildings). INFRASTRUCTURE (AEC - Architecture, Engineering and Construction), Asset tagging for Enterprise Asset Management System - Public Works Authority. ELECTRICITY, WATER & DRAINAGE (UTILITY), QDRS & QPRO Applications and Replies Focal Point for Electricity - Client: Qatar General Electricity and Water Corporation. ELECTRICITY, WATER & DRAINAGE (UTILITY), GIS Field Data Collection and Clean-up (World Bank Project) - Client: Nairobi City Water & Sewerage Company. ELECTRICITY, WATER & DRAINAGE (UTILITY), Drainage (Foul Sewer Network, Surface Ground Water, Treated Sewarage Network) Utility Network Re-Engineering Model, Schema Validation and Data Migration. URBAN & PHYSICAL PLANNING DOMAIN - Local Physical Development Plan (LPDP), LPDP Machakos County - Client: Machakos County Government. URBAN & PHYSICAL PLANNING DOMAIN - Local Physical Development Plan (LPDP), LPDP Samburu County Towns - Client: Samburu County Government. URBAN & PHYSICAL PLANNING DOMAIN - Local Physical Development Plan (LPDP), LPDP Meru County Towns - Client: Meru County Government. URBAN & PHYSICAL PLANNING DOMAIN - Local Physical Development Plan (LPDP), Sub-Division, Change of Use & Advisory Plan Client: Plot No/LR 237/2/10. URBAN & PHYSICAL PLANNING DOMAIN - Local Physical Development Plan (LPDP), Nairobi City Street and Physical Addressing System - Client: Ministry of Metropolitan, Urban & Housing Development.
Available Upon request
Training and Certification (GIS, Data Science, Deep Learning, Machine Learning, GIS Analysis and Imagery).