Alex Tour-Sarkissian

37.7749° N · 122.4194° W

GIS ANALYST · SPATIAL DATA ENGINEERING · GEOSPATIAL INTELLIGENCE

Turning complex geographic data into reliable, decision-ready intelligence.

I am a GIS Analyst specializing in spatial analysis, spatial databases, remote sensing, and geospatial automation. I transform complex geographic questions and fragmented datasets into structured, validated, and clearly communicated spatial information.

My work spans transportation network modeling, watershed analysis, environmental GIS, infrastructure mapping, and interactive decision-support systems. Using ArcGIS Pro, Python, PostgreSQL/PostGIS, SQL, and Google Earth Engine, I develop reproducible workflows that connect technical analysis with practical decisions.

7 Domains & industries
100+ Training-program participants reached

Core GIS Strengths

  • Enterprise GIS
  • Spatial Databases
  • Remote Sensing
  • Network Analysis
  • Web GIS
  • Geospatial Automation
  • Cartography
  • Decision-Support Systems
Esri Platform
ArcGIS Pro ArcGIS Online Experience Builder Dashboards Survey123
Programming & SQL
SQL PostgreSQL PostGIS pgRouting Python ArcGIS API for Python Google Earth Engine
Spatial Methods
Spatial Analysis Raster Analysis Remote Sensing Network Analysis Cartography Georeferencing GeoAI
Design & Data
Adobe Creative Suite WordPress Salesforce GitHub

The Work

Selected GIS work across environmental, enterprise, infrastructure, transportation, and geopolitical domains — organized by capability to demonstrate spatial analysis, SQL-based database workflows, decision support, and geospatial problem-solving.

01

Spatial Analysis & Remote Sensing

San Francisco Motor Vehicle Crime Spatial Analysis — Kernel Density map

Independent GIS Research · San Francisco · ArcGIS Pro

San Francisco Motor Vehicle Crime Spatial Analysis

A list of 15,149 incident locations doesn't reveal where a city's crime pattern is actually concentrated. This six-map ArcGIS Pro workflow analyzes the same 2021–2025 motor vehicle crime dataset four different ways — police-district and neighborhood aggregation, Kernel Density estimation, Getis-Ord Gi* hot spot analysis, and road-proximity analysis — to show how administrative counts, continuous density, statistical significance, and spatial association answer different questions rather than the same one.

Method Spatial Join · Kernel Density · Getis-Ord Gi*
Scale San Francisco, CA
ArcGIS Pro Spatial Statistics Kernel Density Getis-Ord Gi*
View Case Study →
Climate Vulnerability Visualization — United States

Google Earth Engine · Environmental GIS · Raster Analysis

Climate Risk Decision Support

Developed six Google Earth Engine applications examining seasonal temperature anomalies, terrain-based solar suitability, wetland surface-water persistence, coastal population exposure, sea-level-rise scenarios, and erosion susceptibility. The series integrates public climate, elevation, hydrology, vegetation, and population datasets into reproducible raster workflows and screening-level environmental maps across selected U.S. study areas.

Method Google Earth Engine · Remote Sensing
Scale Multi-State · United States
Google Earth Engine Remote Sensing Climate GIS Raster Analysis
View Case Study →
TVDI East and West Harerghe Ethiopia drought

Remote Sensing Analysis · Ethiopia

TVDI — East & West Harerghe Drought Analysis

Drought in eastern Ethiopia is a chronic condition — it shapes land use, agriculture, and food security decisions across two of the country's most food-insecure zones. This TVDI (Temperature-Vegetation Dryness Index) analysis integrated land surface temperature and NDVI data from March 2015 to map soil moisture stress at high spatial resolution. Five-class output from Very Wet to Very Dry delivered the geographic specificity that regional drought response requires: not just that drought is present, but exactly where — and where it isn't.

Method Remote Sensing · TVDI Index
Scale Regional · East Africa
ArcGIS Pro Remote Sensing Drought Analysis
NDWI Rhode Island

Remote Sensing Analysis · Rhode Island

NDWI — Normalized Difference Water Index

Rhode Island's complex coastal and inland hydrological system requires spatial analysis to support watershed management, land cover assessment, and water resource planning decisions. This NDWI remote sensing analysis maps surface water extent, waterbody boundaries, wetland edges, and moisture gradients — producing a five-class output that communicates where water is concentrated and where it isn't, at the scale where planning decisions get made.

Method Remote Sensing · NDWI Index
Scale State · Rhode Island
ArcGIS Pro Remote Sensing Raster Analysis Water Resources
Vegetation Carbon Stock Distribution

Environmental Analysis · Southern Oregon

Vegetation Carbon Stock Distribution

Land managers and climate planners need to know where carbon sequestration capacity is highest before making conservation and land-use decisions. This analysis quantifies above-ground vegetation carbon stock across Lane and Douglas Counties, Oregon — mapping tons per hectare across temperate rainforest, mixed forest, and transitional zones to make carbon distribution visible at the scale where those decisions get made.

Method Raster Analysis · Carbon Mapping
Scale Lane & Douglas, OR
ArcGIS Pro Raster Analysis Climate
View Case Study →
San Francisco Solar Energy Potential

Environmental Analysis · San Francisco

San Francisco Solar Energy Potential

Urban energy planners and municipal infrastructure teams need to know where solar installation will generate the most power before committing investment. This analysis maps Global Horizontal Irradiance across San Francisco — using five-class raster classification to identify high-irradiance zones where solar generation is most efficient year-round, delivered as a decision-support product for urban energy planning at the municipal scale.

Method Raster Analysis · GHI Classification
Scale Municipal · San Francisco
ArcGIS Pro Raster Analysis Urban Planning Energy
View Case Study →
02

Decision Support Dashboards & Web GIS

Electoral Systems Global Dashboard

ProRep Coalition · Nonprofit Volunteer

Electoral Systems Global Dashboard

Most global electoral datasets are inconsistent or politically contested. This dashboard had to be right — it was being used to educate policymakers on democratic reform. Each country's electoral classification was verified against five to six independent sources and structured field-by-field before opening ArcGIS Pro. Attributes joined, topology validated country by country, custom pop-up imagery designed in Photoshop. Published as a publicly accessible live dashboard. When a wrong classification is a policy argument, the data workflow has to hold up to expert scrutiny.

Method Web GIS · Attribute Joining
Scale Global
Output Live Interactive Dashboard
ArcGIS Experience Builder ArcGIS Online Adobe Photoshop
School Construction Projects Dashboard — Nepal

Building Education · Web GIS Analyst & Technical Lead

School Construction Projects Dashboard — Nepal

Building Education operates 7 school construction sites across Nepal — a geographic program with two fundamentally different donor audiences. Data-driven donors need project counts, construction status, funding progress, and student numbers. Emotionally-driven donors respond to photography and personal narrative. This staff-approved Experience Builder prototype, slated for the website overhaul and not yet deployed, was designed so both audiences find what moves them in the same interface. Serves as technical lead, providing WordPress and operational support for 6–10 staff.

Method Web GIS · Data Visualization
Sites Mapped 7 Construction Sites
Region Nepal
ArcGIS Experience Builder ArcGIS Dashboards Nonprofit
California Solar Footprint

Independent Project · ArcGIS Dashboards

California Solar Footprint

California's renewable energy buildout requires infrastructure planners and grid investment teams to understand where solar capacity is concentrated — and where geographic gaps limit future development. This dashboard maps statewide solar capacity distribution, making production patterns and coverage gaps visible to support development prioritization decisions.

Platform ArcGIS Dashboards
Scale Statewide · California
ArcGIS Dashboards Energy Infrastructure Live
View Live Dashboard →
Statewide Power Outages — California

Independent Project · ArcGIS Dashboards

Statewide Power Outages — California

Emergency planners and utilities managing grid events need statewide situational awareness — not fragmented outage reports. This live dashboard maps active power outage locations, scope, and geographic distribution across California in real time, providing the single spatial view that grid response operations require.

Platform ArcGIS Dashboards
Data Live · Real-Time Feed
ArcGIS Dashboards Real-Time Energy Live
View Live Dashboard →
Medium & Heavy-Duty Hydrogen & EV Infrastructure

Independent Project · ArcGIS Dashboards

Medium & Heavy-Duty Hydrogen & EV Infrastructure

Fleet operators and transportation planners working on decarbonization routes need to know where infrastructure gaps prevent viable corridor planning — not just where stations exist. This dashboard maps publicly accessible medium- and heavy-duty hydrogen refueling and EV charging infrastructure across California, making coverage gaps visible at the scale where routing and infrastructure investment decisions get made.

Platform ArcGIS Dashboards
Domain Transportation · Clean Energy
ArcGIS Dashboards Transportation Clean Energy Live
View Live Dashboard →
03

High-Rigor Data Reconstruction & Analytical Mapping

Afghanistan & Belt and Road Infrastructure Analysis cover image

Department of Defense · Geospatial Analyst (Contract)

Afghanistan & Belt and Road Infrastructure Analysis

Geospatial intelligence analysis supporting DoD-affiliated research operations. Over 13 months, delivered four analytical maps covering Afghanistan's mineral resource distribution, Belt and Road infrastructure corridors, and regional transportation network connectivity — executed under direct analyst tasking with precision standards appropriate to the operational context. Analytical scope and methodology are presented; operational outputs are not shown.

Duration 13 Months
Maps Produced 4 Analytical Maps
Region Central & South Asia
ArcGIS Pro Infrastructure Mapping Geopolitical Analysis
View Case Study →
04

Emerging Methods — GeoAI · Conservation · Geopolitical Analysis

Five AI-Powered Spatial Accessibility Systems cover image

LLM Agentic GeoAI Mastery · Certification Capstone

Five AI-Powered Spatial Accessibility Systems

Five spatial decision-support systems built using AI-augmented GIS workflows — covering school accessibility (Portland), weather vulnerability (Bristol), multi-hazard emergency response (Tokyo), healthcare accessibility (São Paulo), and urban accessibility gap analysis. Each system applies Python-based spatial analysis pipelines to deliver reproducible accessibility assessments across any geography, demonstrating how agentic GIS scales analytical capacity beyond what manual workflows achieve.

Systems Built 5
Cities 4 · 3 Continents
GeoAI Python Accessibility Analysis Agentic Workflows

Felidae Conservation Fund · GIS Volunteer

Bobcat & Puma Wildlife Tracking — Bay Area

The Felidae Conservation Fund had years of camera trap records across 520 square miles of Marin County terrain — but without spatial context, the conservation patterns were invisible. Mapped approximately 100 camera trap locations and scat observations for bobcat and puma across the study area, giving the research team a decision-support spatial layer: where animal presence concentrated, where habitat corridors likely ran between landscape features, and where monitoring gaps may have obscured actual wildlife distribution.

Method Point Feature Mapping
Coverage ~520 sq mi · Marin County
Data Points ~100 Camera Trap Locations
ArcGIS Pro Wildlife GIS Conservation
View Case Study →

Core Capabilities

Enterprise-level GIS competencies developed across defense, conservation, international development, and civic tech work.

Enterprise GIS & Data Architecture

Designing spatial data structures, organizing attribute schemas, and preparing reliable datasets for analysis, integration, and long-term use.

Spatial Databases & SQL

Building and querying spatial databases with PostgreSQL/PostGIS, including network topology preparation, spatial SQL, and pgRouting analysis.

Remote Sensing & Raster Analysis

Analyzing satellite imagery, elevation models, and environmental raster datasets to assess land conditions, hydrologic characteristics, and spatial patterns.

Web GIS & Dashboards

Developing interactive ArcGIS dashboards and web mapping applications that communicate geographic information to policymakers, nonprofit organizations, and operational audiences.

Network & Infrastructure Analysis

Preparing transportation networks, validating connectivity, and performing routing, accessibility, and infrastructure analyses to support planning and resource allocation.

Geospatial Automation & GeoAI

Automating geospatial processing, data preparation, and quality-control workflows with Python and ArcPy, while exploring AI-augmented approaches to spatial analysis.

Three things that don't change,
no matter the project.

Across transportation, conservation, infrastructure, and environmental analysis, my approach follows three consistent principles: prepare trustworthy data, design for the intended decision, and validate the results.

01

Structure before software.

Reliable GIS begins with reliable data. Before analysis, I examine source quality, attribute structures, coordinate systems, classifications, and documentation. Identifying problems early reduces downstream errors and creates a stronger foundation for reproducible spatial work.

Seen in: Electoral Systems Dashboard · Caucasus Series · Every project

02

Design for the decision.

A map should answer a meaningful geographic question for its intended audience. I connect analytical methods, visual hierarchy, and clear interpretation so users can understand what the results show, what they do not show, and how they may inform decisions.

Seen in: Nepal Dashboard · DoD Analysis · Building Education

03

Validate before delivery.

I check geometry, attributes, analytical assumptions, spatial consistency, and output quality before treating a GIS product as complete. When an issue appears, I investigate its source, document the correction, and verify the result rather than relying on visual appearance alone.

Seen in: Caucasus Infrastructure Maps · Apple Data Validation · Wildlife Tracking

Professional Highlights

Mapping Products Delivered

Thematic maps, environmental analyses, routing products, and interactive dashboards across multiple GIS domains.

100+ Program Participants Reached

A six-country thematic map series supported a U.S. government training initiative serving participants from government, academia, and think tanks.

Cross-Sector Experience

Geospatial work supporting defense-affiliated research, conservation, nonprofit organizations, and international development.

Technical Leadership Experience

Web GIS development and operational technical support for Building Education’s school construction program in Nepal.

Live Public Dashboards

Interactive ArcGIS dashboards covering renewable energy, infrastructure, and statewide power outages in California.

Advanced GIS Training

Continued professional development in Python-based GIS, climate analysis, and AI-augmented geospatial workflows.

About Alex

Before I knew what GIS was, I spent hours studying road atlases—tracing transportation routes, examining rivers and boundaries, and exploring how geography shaped the connections between places. My first GIS course introduced me to ArcMap and showed me how that curiosity could become a practical analytical discipline.

Since then, I’ve worked across defense-affiliated research, conservation, international development, and civic technology. These experiences reinforced a consistent approach: understand the geographic problem, organize the underlying data, validate the analysis, and communicate results for the people who need them. Some projects involved reconstructing geographic information from incomplete sources or working with sensitive materials that are not publicly displayed.

My recent work has expanded into Python automation, remote sensing, spatial databases, transportation network analysis, and GeoAI. I continue developing these capabilities through applied projects, professional training, and engagement with the geospatial community. I’m especially interested in GIS roles where technical rigor, data quality, and practical problem-solving are central to the work.

Education

BA Geography + GIS Certificate
Cal State East Bay · 2018

Certifications

LLM Agentic GeoAI Mastery
Udemy · 2026

ArcGIS Online API for Python
Udemy · 2026

GIS for Climate Action
Esri · 2026

Target Roles

GIS Analyst
Enterprise GIS Analyst
Transportation GIS Analyst
Utility GIS Analyst
Spatial Data Analyst

Focus Areas

Environmental Risk & Climate Resilience
Transportation & Utility Infrastructure
Infrastructure Planning
Decision Support Systems
International Development
Geospatial Intelligence

Professional Memberships

California Geospatial Professional Network (CalGPN)
BayGeo
Toastmasters International
Kiwanis International

Location

San Francisco, CA
Open to hybrid, on-site, and select remote roles

Technical Capabilities

My technical workflow combines desktop GIS, spatial databases, Python automation, cloud-based raster analysis, and interactive web mapping. The tools vary by project, but the objective remains consistent: reliable data, reproducible methods, and usable spatial outputs.

GIS Platforms

Desktop and cloud GIS environments used for spatial analysis, mapping, and dashboard delivery.

ArcGIS Pro ArcGIS Online Experience Builder ArcGIS Dashboards Survey123

Databases & SQL

Structuring and querying spatial data for enterprise-scale GIS workflows.

SQL PostgreSQL PostGIS pgRouting

Programming & Automation

Scripting spatial workflows and automating repetitive georeferencing and processing tasks.

Python ArcGIS API for Python Google Earth Engine

Remote Sensing

Deriving environmental and land-cover indicators from satellite and raster imagery.

Raster Analysis Georeferencing Spatial Analysis

Web GIS

Publishing interactive, decision-ready spatial products for non-technical audiences.

ArcGIS Online Experience Builder ArcGIS Dashboards

Data & Design

Presenting spatial data clearly and managing the systems that support it.

Adobe Creative Suite Cartography WordPress Salesforce GitHub

Open to the right role.

I’m seeking GIS Analyst, Enterprise GIS Analyst, Transportation GIS Analyst, and Spatial Data Analyst opportunities in the San Francisco Bay Area, with a preference for hybrid or on-site teams. I’m also open to select remote roles.

I’m particularly interested in work involving spatial data engineering, transportation and utility infrastructure, environmental analysis, geospatial automation, and decision-support systems.

If your team values reliable geographic data, rigorous analysis, and clear communication, I’d welcome the opportunity to connect.