Senior GIS Technician | GIS Data Scientist
Public Works Authority
Total years of experience :11 years, 4 Months
Data Analysis and Modeling: Analyze spatial data using statistical techniques, machine learning algorithms, and geospatial modeling methods to derive insights, patterns, and trends.
Predictive Modeling: Develop predictive models and spatial algorithms to forecast future events or phenomena, such as land use changes, environmental impacts, or infrastructure demand.
Spatial Data Mining: Apply data mining techniques to discover spatial patterns and relationships within large datasets, enabling informed decision-making and strategic planning.
Data Visualization: Create visualizations, dashboards, and interactive maps to communicate analytical findings and spatial patterns effectively to stakeholders and decision-makers.
Spatial Big Data Management: Manage large volumes of spatial data, including acquisition, storage, processing, and analysis, leveraging big data technologies and distributed computing frameworks.
Geospatial Machine Learning: Apply machine learning techniques, such as deep learning, neural networks, and spatial clustering, to solve complex spatial problems and automate geospatial tasks.
Feature Engineering: Engineer spatial features and attributes from raw data sources, incorporating domain knowledge and spatial relationships to enhance model performance and accuracy.
Spatial Optimization: Develop optimization models and algorithms to solve spatial optimization problems, such as routing, location allocation, and facility siting, optimizing resource allocation and infrastructure planning.
Spatial Data Integration: Integrate spatial data from multiple sources and formats, including remote sensing, GPS, LiDAR, and social media data, to enrich analysis and enhance decision support capabilities.
GIS Application Development: Develop custom GIS applications, tools, and scripts to automate workflows, perform spatial analysis, and support data-driven decision-making processes.
Collaboration and Communication: Collaborate with interdisciplinary teams, including GIS analysts, domain experts, and IT professionals, to identify data requirements, develop analytical solutions, and communicate findings.
Research and Innovation: Stay updated on the latest advancements in GIS, spatial analysis, and data science methodologies, and contribute to research projects and innovation initiatives to advance the field.
System Design and Development: Design, develop, and implement GIS solutions, including databases, applications, and web services, to meet organizational needs and objectives.
Spatial Data Management: Manage spatial data infrastructure, including data acquisition, storage, integration, and maintenance, ensuring data quality and consistency.
Geospatial Analysis: Perform geospatial analysis and modeling to derive insights and support decision-making processes across various domains such as urban planning, environmental management, and infrastructure development.
Custom Application Development: Develop custom GIS applications, tools, and workflows to automate processes, improve efficiency, and address specific project requirements.
GIS Database Administration: Administer GIS databases, including database design, optimization, security, and backup/restore procedures, to ensure data integrity and availability.
Technical Support and Training: Provide technical support to end-users, troubleshoot issues, and deliver training sessions to build GIS capacity within the organization.
Integration and Interoperability: Integrate GIS with other enterprise systems (e.g., ERP, asset management) and ensure interoperability with external systems and data sources.
Standards Compliance: Ensure compliance with industry standards and best practices in GIS data management, analysis, and application development.
Quality Assurance and Testing: Conduct quality assurance and testing of GIS applications, tools, and data products to validate functionality, accuracy, and performance.
Project Management: Lead GIS projects from inception to completion, including project planning, resource allocation, task coordination, and stakeholder communication.
Research and Innovation: Stay abreast of emerging technologies, trends, and methodologies in GIS and contribute to research and innovation initiatives to advance GIS capabilities and practices.
Data Collection and Management: Collect, acquire, and manage spatial data from various sources, including satellite imagery, GPS, surveys, and government databases.
Data Analysis and Mapping: Analyze spatial data using GIS software to create maps, visualize spatial patterns, and identify trends and relationships within the data.
Spatial Database Management: Maintain and update GIS databases, ensuring data accuracy, completeness, and consistency, and implementing data quality control measures.
Geocoding and Addressing: Geocode addresses, assign spatial coordinates, and create address databases for mapping and spatial analysis purposes.
Spatial Analysis: Conduct spatial analysis tasks such as buffering, overlay analysis, proximity analysis, and spatial interpolation to solve spatial problems and support decision-making processes.
Map Production: Produce maps and cartographic products for a variety of purposes, including planning, environmental assessment, emergency response, and public information dissemination.
GIS Application Support: Provide technical support for GIS software and applications, troubleshoot issues, and assist end-users with GIS-related inquiries and problems.
Field Data Collection: Conduct field surveys and data collection activities using GPS devices and mobile GIS applications, collecting spatial data for analysis and mapping purposes.
Custom Scripting and Automation: Develop custom scripts, tools, and workflows to automate GIS tasks, streamline processes, and improve efficiency in data management and analysis.
GIS Training and Education: Provide training and education to users on GIS concepts, software tools, and best practices, ensuring that users have the knowledge and skills to effectively utilize GIS technology.
Interdisciplinary Collaboration: Collaborate with other professionals, such as urban planners, environmental scientists, engineers, and emergency responders, to integrate GIS into interdisciplinary projects and initiatives.
Data Visualization and Communication: Create visualizations, infographics, and interactive maps to communicate spatial data findings and insights to stakeholders, decision-makers, and the general public.
Spatial Data Management: Acquire, organize, and maintain spatial datasets for land use, zoning, infrastructure, and demographics.
Spatial Analysis: Conduct analysis to identify patterns, trends, and relationships within urban data, supporting planning decisions.
Site Selection: Assess suitability of sites for development projects based on land use compatibility, accessibility, and environmental factors.
Infrastructure Planning: Assist in planning, design, and management of transportation, water supply, and utilities infrastructure.
Stakeholder Engagement: Create visualizations and tools to engage stakeholders, facilitate public participation, and support decision-making.
Environmental Assessment: Conduct environmental impact assessments and sustainability planning, analyzing land cover changes and habitat fragmentation.
Policy Support: Provide decision support to policymakers by evaluating policy alternatives and assessing planning impacts.
Technology Innovation: Stay updated on GIS advancements, exploring new applications and tools to enhance planning capabilities.
Capacity Building: Deliver training and support to build GIS capacity within organizations and community groups.