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.
These entries focus on delivery: systems built, workflows automated, dashboards designed, and analysis turned into usable outputs for stakeholders.
Built a low-cost cloud routing workflow combining ArcGIS, Azure Functions, Blob Storage, Power Automate, and Power BI to automate daily geo-routing operations.
Designed an OCR-driven reporting workflow using Azure AI Document Intelligence, Power BI, Power Apps, and Power Automate to replace manual document processing.
Explored DNS log analysis as a way to improve network observability, understand traffic patterns, and support more resilient supply-chain operations.
Compared Azure AutoML with a custom Jupyter-based modeling workflow for shipping-cost prediction, focusing on tradeoffs in speed, control, and model quality.
Used graph modeling and concept mapping in Neo4j to analyze forex-related tweets, market actors, event types, and their relationships.
Investigated machine-learning approaches for large-scale fraud classification using a high-dimensional dataset with more than one million records.
Designed a Power BI row-level security model to control enterprise data access by role while preserving reporting flexibility for leaders and managers.
Integrated ArcGIS into Power BI dashboards to improve spatial analysis, fuel-consumption insights, and map-based storytelling beyond standard Power BI visuals.
Analyzed ChatGPT-related social media conversations using network analysis, sentiment analysis, and topic modeling to identify communities and controversial themes.
Planning work focused on proactive infrastructure replacement and decision support for water-system maintenance and long-term operational planning.