GIS · Data Analytics · Predictive Modeling

Spatial intelligence
for smarter
decisions

GIS, data analytics, and predictive modeling tools for utilities, telecom, and retail — turning complex spatial data into actionable operational insight.

ArcGIS Enterprise Esri Utility Network Predictive Modeling SAP HANA Azure OpenAI Spatial Analytics RAG Pipelines ⚡ Electric GIS Transformer Lookup Outage Analytics
Applications

Tools built for
spatial data workflows

Each tool targets a specific operational or analytical challenge across gas utilities, electric utilities, telecom, and retail. Sign in with Microsoft to launch any app.

GAS — 02
📋
Data Completeness Auditor
Audit gas pipeline attributes for completeness and regulatory traceability. Flags missing or unverifiable data fields and generates remediation priority reports.
◐ In Development
GAS — 03
🧠
AI Pipeline Risk Scorer
Natural language interface over pipeline risk model data. Combines RAG architecture with ArcGIS spatial context to surface segment-level risk insights.
○ Planned
GAS — 04
🔍
Utility Network Model QA
Automated quality checks for Esri Utility Network migrations. Validates connectivity rules, asset group/type assignments, and network topology post-migration.
○ Planned
GAS — 05
🔗
SAP–GIS Asset Bridge
Reconcile SAP HANA equipment master records with ArcGIS Utility Network assets. Identifies mismatches in asset IDs, spatial coordinates, and attributes.
○ Planned
ELEC — 02
🗺️
Outage Impact Mapper
Maps real-time or historical outage events against customer density, critical facilities, and feeder topology. Integrates with Utility Network trace API to identify affected subnetworks.
◐ In Development
ELEC — 03
🔋
Feeder Load Analyzer
Combines GIS feeder geometry with SCADA load data to visualize capacity utilization by segment. Flags overloaded sections with AI-assisted redistribution recommendations.
○ Planned
ELEC — 04
🔌
Substation Catchment Modeler
Delineates service territory boundaries by substation using network topology and customer point data. Supports capacity planning and load growth projections.
○ Planned
ELEC — 05
🌿
Vegetation Risk Intelligence
AI-powered vegetation encroachment risk scoring along overhead distribution lines. Uses satellite imagery and LiDAR canopy data to prioritize inspection routes spatially.
○ Planned
ELEC — 06
🧠
AI Fault Location Assistant
Natural language interface over fault event history and network topology. Ask: "Which feeders have the most recloser operations this year?" — answered spatially with map output.
○ Planned
Research & Expertise

Deep domain
specialization

Research spanning gas and electric utility GIS infrastructure, and the application of AI to spatial data workflows and network operations.

Gas Utility
01
Gas Utility Network Architecture
UN model design for gas distribution and transmission, asset group/type configuration, network topology rules, and migration from Geometric Network to Utility Network.
02
ArcGIS Enterprise & Linear Referencing
Enterprise geodatabase design, LRS event management, route calibration, pipeline segmentation, and dynamic segmentation workflows.
03
AI Integration in GIS Workflows
Azure OpenAI Service, RAG pipelines over spatial data, Semantic Kernel orchestration, and natural language interfaces for asset management queries.
04
SAP HANA & Enterprise Integration
Stored procedures, BFS traversal over object dependency chains, SAP equipment master to GIS asset reconciliation, and cross-system data quality.
Electric Utility
05
Electric Network Modeling
Substation, feeder, transformer, and secondary network modeling in Esri Utility Network. Phase assignment, connectivity rules, and service territory delineation.
06
Outage & Fault Spatial Analysis
Mapping outage events to network topology, integrating OMS and GIS data, identifying repeat fault locations, and spatial clustering of reliability incidents.
07
Load & Capacity GIS Analytics
Feeder load visualization, capacity planning spatial models, substation catchment analysis, and SCADA+GIS integration for operational awareness.
GAS
Gas Network Platform
Asset Groups Connectivity RulesSubnetworks Trace API LRS EventsNetwork Topology Field Maps Terminal Config
ELEC
Electric Network Platform
Transformer LookupLive
Outage MappingDev
Feeder AnalyticsPlanned
Phase Decode OMS Integration SCADA + GIS Feeder TraceSubstation Model
AI+
Generative AI Stack
Azure OpenAI RAG Pipelines Semantic Kernel AI FoundryVector Search AI-102 Certified
Approach

From raw spatial data
to operational insight

A structured workflow connecting field data, enterprise GIS, AI analysis, and utility operations deliverables — end to end.

🗺️
Spatial Data Audit
Assess existing GIS data completeness, coordinate accuracy, and attribute quality across gas and electric datasets.
🔧
Model Configuration
Design or refine Utility Network model structure, LRS configuration, and enterprise geodatabase schema.
🧠
AI Enrichment
Apply generative AI for attribute gap-filling, anomaly detection, and natural language queries over spatial data.
📊
Analytics & Insight
Risk scoring, outage analysis, capacity modeling, and Power BI dashboards for executive and operational visibility.
Operational Output
Actionable field workflows, data quality reports, network models, and integration-ready datasets for utility systems.
Contact

Let's connect

Research collaborations, tool feedback, or utility GIS consulting inquiries welcome.

Focus Areas
GIS · Data Analytics · Predictive Modeling
Based In
Ohio, USA
Serving
Gas & Electric Utilities · Telecom · Retail