GISjobs.com – It All Starts Here

Neo Nxumalo

Wappingers Falls, NY, USA

Neo Nxumalo
nxumaloneo99@gmail.com | 845-392-4492 | linkedin.com/in/neonxumalo/
Professional Summary
Geospatial Data Scientist and environmental justice advocate specializing in leveraging spatial data analysis and
machine learning to drive strategic, socially impactful decision-making. Expertise in transforming complex
multi-source geospatial datasets into actionable insights. Proven background in building and maintaining scalable
data pipelines, ensuring data accuracy and consistency, while leveraging Python, SQL, and machine learning
techniques. A collaborative team player who applies strong initiative and excellent communication skills to
optimize end-to-end data processes and deliver high-impact dashboards consumed by leadership and
cross-functional teams.
Skills and Competencies
Geospatial Software: ArcGIS Pro, ArcGIS Online (Web Mapping/Apps), QGIS, PostGIS
Programming & Databases: Python (GeoPandas, Pandas, Scikit-learn), R Studio, SQL
Geospatial Techniques:Spatial Statistics, Cartography, Web Scraping (Python), Geocoding
Domain Knowledge: Remote Sensing Fundamentals, Image Processing Concepts, GeoAI Theory, Change Detection
Other Tools: Git/GitHub, Jupyter Notebooks, Tableau, Excel (Advanced)
Professional Experience
Data Analyst (Contract), Strobel Professional Services 06/2025 - 08/2025
• Extracted and processed structured data for over 2,000 products using custom Python web-scraping pipelines,
enabling centralized storage of specifications, descriptions, and image assets that improved catalog accuracy.
• Streamlined and standardized high-volume product datasets in Excel using advanced formulas, macros, and
automation, eliminating recurring inconsistencies and boosting processing efficiency by 40%.
• Evaluated product presentation and content quality across multiple e-commerce platforms, maintaining 95%+
adherence to merchandising, formatting, and data integrity requirements.
• Identified and resolved data gaps, duplicate attributes, and formatting discrepancies during transformation
workflows, reducing manual rework by 30% and increasing dataset reliability.
• Partnered with merchandising and content teams to validate product attributes, accelerating product readiness
and supporting quicker go-to-market execution.
Graduate Student Researcher - Data Science
• Led a multidisciplinary research initiative analyzing environmental disparities in NYC communities, delivering
data-driven insights that informed equity-focused academic and policy discussions.
• Engineered scalable geospatial processing pipelines with Python (pandas, folium, matplotlib) to analyze
36,000+ environmental data points, significantly enhancing analytical depth and reporting speed.
• Built advanced transformation workflows that uncovered spatial and temporal pollution patterns, producing
clean, publication-ready datasets with improved accuracy and reproducibility.
• Optimized the full data lifecycle from acquisition to visualization by automating validation and cleaning steps,
reducing manual processing time by 40% and ensuring consistent data quality.
• Developed interactive dashboards and geospatial maps that translated complex environmental trends into
accessible insights for faculty and community stakeholders.
Data Analyst, BackboneAI – New York, NY 06/2023 - 02/2024
• Executed large-scale data extraction, aggregation, and quality audits across diverse partner datasets,
significantly improving accuracy and consistency for enterprise-wide analytics.
• Increased data usability by 25% by conducting detailed attribute validation, standardization, and mapping
across multi-source client datasets, reducing downstream errors across business systems.
• Verified financial dataset inputs with over 95% accuracy, enabling dependable monthly reporting and supporting
critical business decisions under tight timelines.
• Automated Excel-based analytical tools using pivot tables, advanced lookups, and conditional logic, accelerating
leadership reporting and enhancing operational visibility.
• Coordinated across product, engineering, and business teams to refine data structures and improve transfer
workflows, ensuring datasets aligned with evolving business and product needs.
Content Analyst, Medco Tool – Philadelphia, PA 11/2021 - 06/2023
• Audited and validated 300,000+ product records using SQL, strengthening organizational data integrity and
ensuring all records adhered to internal and industry-wide standards.
• Managed and optimized large pricing datasets, aligning updates with approved schedules and reducing invoice
discrepancies across customer accounts.
• Identified systemic data quality issues and implemented corrective processes that enhanced dataset reliability
and reduced recurring operational errors.
• Improved internal reporting and analysis by restructuring, cleaning, and maintaining large datasets, reducing
data errors and increasing operational decision-making accuracy.
• Contributed to a 71% increase in monthly revenue by improving product visibility, optimizing pricing structures,
and reinforcing overall data quality and operational efficiency.
Education
New York Institute of Technology, M.S. in Data Science May 2025
Graduated with Distinction
State University of New York: College at Geneseo, BA in Mathematics August 2021
Professional Development & Certifications
The ArcGIS Imagery MOOC: Foundations and Frontiers — Esri (December 2025)
• Completed intensive coursework in Remote Sensing, GeoAI, and Image Processing workflows within ArcGIS Pro.
ArcGIS Online Basics — Esri (January 2026)
• Verified proficiency in web GIS workflows, including publishing content, creating shared webpages, configuring
applications, and managing organizational data online.
GIS Basics — Esri (December 2025)
• Mastered core geospatial concepts including data models (vector/raster), map projections, coordinate systems,
and fundamental spatial analysis theory.

Neo Nxumalo

You must be a registered/logged in employer to contact job seekers.