Artificial Intelligence and Power Platform Automation
Designed an OCR-driven reporting workflow using Azure AI Document Intelligence, Power BI, Power Apps, and Power Automate to replace manual document processing.
Portfolio
Hi, I'm Mahyar
Data Scientist · Automation Specialist · Researcher
I build applied AI, GIS, analytics, and automation systems, and publish research on decision-making, social behavior, and supply chains. My work focuses on practical systems that help organizations make better decisions faster.
Power PlatformAzure & GISMachine LearningBusiness IntelligencePythonArcGIS
MA
Mahyar Arani Data Science & Research
10 Projects
5 Papers
4 Domains
Applied AI & ML Document parsing, predictive modeling, classification, and NLP workflows.
GIS & Routing ArcGIS integration, route optimization, and spatial decision support.
Business Intelligence Power BI governance, reporting systems, and operational dashboards.
Research Methods Analytical frameworks for organizational behavior, sustainability, and consumer studies.
Work
See all → Selected projects
ArcGIS, Azure Functions, Blob Storage, PowerAutomate and PowerBI
Built a low-cost cloud routing workflow combining ArcGIS, Azure Functions, Blob Storage, Power Automate, and Power BI to automate daily geo-routing operations.
Integrating ARCGIS into PowerBI Dashboard for Enhanced Data Visualization
Integrated ArcGIS into Power BI dashboards to improve spatial analysis, fuel-consumption insights, and map-based storytelling beyond standard Power BI visuals.
Research
All research → Publications & analytical work
Challenges and Factors Affecting Purchase Intention
Research study on the drivers of purchase intention in Afghanistan, examining consumer attitudes, norms, demographics, and country-of-origin effects.
Intellectual and Social Alignment on Organizational Agility
Published research examining how business-IT alignment, inertia, and emergent coordination influence organizational agility.
Sustainable Supplier Evaluation and Selection in Developing Countries
Published research proposing an integrated fuzzy MCDA framework for evaluating and selecting sustainable suppliers in developing-country supply chains.