Data Science Geospatial
Resume:
Regina Ryan
Geospatial Data Scientist
***********@******.*** • +1-510-***-****
LinkedIn • Hamilton, VA 20158
Accomplished professional with robust leadership across government, corporate, and academic sectors—now dedicated to fully remote opportunities to drive innovation in geospatial analytics and spatial intelligence. Specialized in spatial data modeling, spatial statistics, and geospatial database design using ArcGIS Online and Enterprise Suites, ArcSDE middleware, Oracle Spatial, Hadoop, and Elasticsearch. Expertise in geospatial systems integration and spatial analysis to support large-scale projects for Apple, EPA, MITRE, and the US Intelligence Community. Exceptional in deploying global-scale geospatial prototypes using Hadoop and Elasticsearch, including international geocoding engine. Proficient in predictive modeling, clustering, and machine learning for spatial and non-spatial datasets. Skilled in developing end-to-end ETL pipelines, SQL-based data quality frameworks, and real-time spatial dashboards to facilitate Apple Maps and other location-based services. Certified Project Management Professional and Lean Six Sigma Black Belt with sharp focus on data governance, process optimization, and quality control across high-security environments. Excel in conducting geospatial workflow audits, defining QA protocols, and engineering efficient, scalable solutions. Well-versed in creating remote cloud-based academic infrastructure, recruiting multidisciplinary faculty, and delivering applied geospatial science education. Areas of Expertise
● Geospatial Consulting & System Audits
● ETL Development & Cloud Computing
● National & Global Dataset Integration
● Geospatial Application Development & Data Visualization
● Geospatial Systems Engineering & Data Modeling
● Machine Learning & Predictive Modeling
● Data Integration & Data Quality
● Geospatial System Architecture
● ESRI Enterprise & ArcGIS Online
Professional Experience
Geospatial Consultant, (Self-employed), Hamilton, VA 2023 — 2024 Advised on robust data ingestion frameworks to increase geospatial data accuracy, processing speed, and integration efficiency. Employed Six Sigma Black Belt methodologies to simplify geospatial workflows, eliminate inefficiencies, and elevate data quality. Designed and facilitated GIS editor training programs and auditing templates to strengthen data governance and team proficiency.
● Trained AI models to recognize geographic features in spatial proximities.
● Constructed scalable system architectures and standardized workflows for advanced geospatial data processing and growth.
● Developed dynamic program metrics dashboards to enable real-time geospatial analytics and data-driven decision-making.
● Developed documentation and training materials for geographic feature extractions. Data Scientist, Apple, Inc, Cupertino, CA 2017 — 2023 Applied predictive modeling techniques to determine and reduce redundant data features to boost processing efficiency and sharpen geospatial algorithm performance. Drafted and utilized ETL workflows using statistical techniques to streamline data extraction processes and minimize operational overhead. Authored Apple’s first SQL-based data quality framework for robust validation, detecting anomalies in real time, and standardizing QA practices. Formulated and deployed routines to isolate and prioritize high-value feature clusters, thus fueling inclusion workflows and improving dataset relevance in geospatial contexts.
● Executed comprehensive analyses of global datasets (Asia, Mexico, Brazil, Central and Western Europe) and spearheaded process enhancements to enhance geospatial data ingestion, transformation, and visualization across internal Apple systems.
● Liaised with international data providers to engineer scalable dimensional data models, thereby significantly amplifying data accuracy and system performance for location-based services.
● Built and automated end-to-end data pipelines, including ingestion, filtering, and attribution logic, to support machine learning models for spatial feature detection within Apple Maps.
● Analyzed, modeled, and integrated multiple national datasets into Apple Maps Rest of World program to expand global geographic coverage and accelerate mapping precision.
Maps Auditor, Apple, Inc., Hyderabad, India 2018 — 2020 Planned risk mitigation strategies to eliminate bottlenecks at mission-critical quality gates for data flow continuity and reliability in map production. Enforced compliance with enterprise data governance policies by auditing data stores and applications for proper data management, access controls, and security protocols. Created stakeholder communication frameworks for faster issue resolution and Page 2 3
alignment across cross-functional data quality teams. Led process improvement seminars for Apple Maps editors to educate teams on efficient data handling practices between quality gates and reinforcing process discipline.
● Crafted comprehensive process documentation—including standard operating procedures, process flowcharts, and data flow diagrams—for operational consistency and transparency in geospatial data pipelines.
● Directed and completed over 50 in-depth audits of Apple Maps production workflows at Hyderabad, India campus for seamless data integration and adherence to quality standards across key production gates.
● Established and enforced scalable governance solutions covering data quality metrics, metadata tracking, lineage mapping, access rights management, and standardized business definitions.
● Diagnosed and resolved inefficiencies across data quality and access workflows to determine process gaps and deliver actionable improvements to optimize performance.
● Applied Lean Six Sigma Black Belt methodologies to assess process defects, revamp workflows, and raise throughput across Apple Maps production lifecycle.
● Identified recurring workflow barriers and implemented targeted remediations to maximize production efficiency and ascertain high- quality map outputs.
Data Systems Engineer & Spatial Analyst, The MITRE Corporation, McLean, VA 2010 — 2017 Guided Six Sigma process improvement projects as lead systems engineer to expedite Agile development processes and software delivery timelines. Designed comprehensive white papers on systems engineering design and integration to shape strategic direction of data infrastructure initiatives across multiple agencies. Championed data quality engineering across high-impact federal programs for accurate and actionable data to steer intelligence analysis and operational decision-making. Redeveloped DHS regulatory online survey to cut operational costs and attain data accuracy while refining user experience.
● Oversaw cross-agency data integration and architecture initiatives across five U.S. Intelligence Community member agencies for interoperability and standardization across secure enterprise platforms.
● Established complex geospatial data prototypes using Hadoop and Elasticsearch to advance international geocoding systems for improved spatial data retrieval and scalability.
● Crafted risk assessment and mitigation strategies for data management policies to advise agency sponsors on prioritized solutions aligned with national security objectives.
● Redefined data storage and dissemination systems to increase data flow, decrease redundancy, and propel cross-agency data sharing protocols.
● Enforced data management controls and quality metrics for consistency, accuracy, and reliability of mission-critical datasets.
● Employed targeted strategies to address critical data quality risks to meet federal data standards and security regulations. Founding Geospatial Director, Johns Hopkins University, Washington 2009 — 2013 Worked closely with IT teams to design and implement necessary technological infrastructure for seamless, fully online GIS program for efficient and secure learning environment. Collaborated with recruiting office to strategically promote program to prospective students for robust enrollment and increased program visibility. Led recruitment and coordination of faculty to ensure alignment with program goals and optimize course content as per evolving academic and industry standards.
● Engineered cloud computing infrastructure for course content delivery by adhering to best practices from National Institute of Standards and Technology (NIST) to enhance accessibility, scalability, and security of online learning experience.
● Created and delivered courses on spatial data analysis, spatial statistics, spatial data modeling, and task-based project management to empower students with practical, real-world knowledge.
● Pioneered successful launch of Johns Hopkins Online GIS Master of Science degree program to expedite integration into university's academic offerings and long-term success.
● Developed and structured curriculum for online Master of Science program to drive content alignment with industry standards and academic requirements in geospatial field.
● Partnered with Human Resources to recruit and hire top-tier faculty members by assembling skilled teams of educators to prepare high-quality instruction in geospatial sciences.
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Additional Experience
Project Manager & Chief Technical Engineer
Lockheed Martin CORP, Arlington, VA
Led development and oversight of national-scale geospatial data systems and applications supporting environmental analysis and public transparency. Served as CMMI Level 3 Task Manager for geospatial project compliance with federal process maturity standard to enhance consistency and accountability in technical execution. Steered development of tribal grant application systems for EPA American Indian Environmental Office to integrate spatial data to streamline federal grant management processes. Managed and mentored cross- functional team of 20 data analysts, DBAs, and developers to foster interdisciplinary collaboration and increase geospatial data solution capacity across the organization.
• Redesigned “Cleanup In My Community” using Bing Maps integration to modernize geospatial architecture to improve data visualization performance and reduce system costs, thereby enhancing usability for public and internal stakeholders.
• Served as Special Geospatial Consultant to DOJ’s Environmental Justice Office to deliver spatial analysis and data solutions in collaboration with Bureau of Land Management for environmental equity and land use policies.
• Directed EPA’s national data warehouse and five GIS web applications to enable real-time geospatial analysis of regulated facilities across all U.S. states and territories, thus advancing data-driven environmental decision-making.
• Drove development of EPA’s first offline-capable geospatial grants tracking application to maximize accessibility of spatial funding data in low-connectivity regions to support underserved rural and tribal communities.
• Appointed Chief Technical Engineer for geospatial development to spearhead design and implementation of innovative, user- centric data visualization platforms for federal environmental programs.
• Oversaw GIS infrastructure upgrades and open-source software integration to optimize spatial data processing and improve scalability and reliability of EPA’s mapping environment. Geospatial Engineer
Rei Systems, Inc., Annandale, VA
Applied spatial data science techniques to support environmental monitoring and invasive species management. Utilized GIS tools to perform spatial analysis and visualization of tree infestations to generate actionable insights for informed resource allocation and mitigation efforts. Maintained and edited spatial data using Oracle and ESRI ArcSDE middleware for seamless integration and data accuracy within USDA’s enterprise geospatial systems.
• Developed backend version control model for spatial data to facilitate accurate tracking of spread of invasive species over time— thus improving temporal analysis and predictive modeling for environmental impact assessment.
• Created and implemented geospatial database for efficient storage, management, and analysis of large-scale environmental dataset to enhance data integrity and accessibility for USDA researchers. Education
Doctor of Philosophy (Ph.D.) in Geographic Information Systems, George Mason University, Fairfax, VA Master of Science (M.S.) in Geology, University of Delaware, Newark, DE Master of Liberal Arts (M.L.A.), Johns Hopkins University, Baltimore, MD Bachelor of Arts (B.A.), University of Massachusetts, Amherst, MA Technical Proficiencies
Software & Tools: Tableau (Software), Microsoft Office Suite, Microsoft Visio, Microsoft Project, Confluence, GitHub, Elasticsearch Cloud & Open-Source Technologies: Cloud Computing, Free & Open-Source Software, Open-Source Technology, Python Languages
English – Expert Proficiency French – Reading Proficiency
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