Core strengths

The Capabilities I Bring To A Data Team

A concise view of the work I do well, framed for recruiters and hiring managers.

01
AI Solutions on Azure & OpenAI

Building Python pipelines on Azure that power OpenAI-driven features, from text classification to semantic search inside operational tools.

02
Business Intelligence & Reporting

Designing reporting layers that surface the metrics business teams actually use to decide.

03
Applied Data Science

Turning unstructured business data into models and workflows that improve how teams decide and operate.

04
Data Quality & Validation

Embedding checks and monitoring so reports stay accurate as upstream systems change.

05
Data Quality & Validation

Embedding checks and monitoring so reports stay accurate as upstream systems change.

06
Cross-System Data Integration

Unifying signals from Dataverse, Salesforce, SharePoint, and HR platforms into a coherent view.

07
Azure & Cloud Data workflows

Operating modern data pipelines on Microsoft Azure with attention to cost and maintainability.

08
AI-Powered Solutions

Applying OpenAI APIs and Azure Cognitive Search to classification and conversational use cases.

09
Decision Support & Stakeholder Analytics

Partnering with leaders to turn data products into instruments they actually rely on.

Selected work

Representative Project Categories

A view of the kinds of data products I have built and supported in corporate environments. Specific implementations are confidential, but the patterns are consistent.

01
Corporate Dashboard Ecosystems

End-to-end Power BI environments unifying CRM, HR, pricing, and infrastructure data into a single decision surface.

Pattern
02
AI-Powered Text Classification

OpenAI-driven pipelines that classify high volumes of customer interactions for product and operations teams.

Pattern
03
Semantic Search Applications

Azure OpenAI and Cognitive Search experiences that let internal users explore knowledge in natural language.

Pattern
04
Cross-Functional Reporting Systems

Reporting layers that align operations, finance, and client management around a shared set of metrics.

Pattern
05
Data Quality & Validation Pipelines

Python validation routines that monitor reporting integrity and surface upstream data issues early.

Pattern