A portfolio of high-impact work spanning AI agent analytics, workflow automation, data-platform modernization, production hardening, executive storytelling, and measurable operational improvement.
From fragmented legacy systems to scalable, governed AI operations—each initiative connected technical delivery to clearer decisions and stronger business outcomes.
Led end-to-end redesigns of Power BI experiences for AI agent adoption, ROI, engagement, and operational health—rebuilding semantic models, DAX, visuals, navigation, themes, bookmarks, and executive app experiences.
Migrated reporting from SharePoint and Excel to Dataverse, creating crosswalks, rebuilding dimensions, rewiring Power Query, validating schemas, and reconciling historical and production sources.
Created coordinated Power Automate flows that identify upcoming ADO milestones, generate Theo AI recommendations, notify project managers, capture approvals, execute updates, and audit the full lifecycle.
Designed a common “Ask Once. Remember Forever.” framework with reusable get, set, and delete child flows, delivery-channel preferences, permission-aware experiences, onboarding guidance, and integration assets.
Delivered a hosted visual WIQL query builder with Entra authentication, email subscriptions, user-selected send times, and a “My Alerts” experience for editing or cancelling alerts.
Identified unauthenticated trigger exposure, applied network controls, aligned designs to security guidance, and resolved Kusto, token, connection, and HTTP integration failures.
Built source-comparison tooling and consolidated seven workbooks into an 84,449-row dataset, with roster, count, unmatched-record, and data-quality analysis across 33 agents.
Reconstructed the CCE Continuous Improvement report across 15 pages and 152 visuals, replacing shared-model dependencies with ADO OData and validating 48 field references plus 11 of 12 production measures across every fiscal month.
Automated ingestion of work items, rules, epics, and roadmap data—including live REST integration, 47-epic analysis, rules mapping, and quarterly, monthly, and weekly Gantt views.
Created production-grade architecture documents, implementation guides, one-pagers, technical datasheets, branded references, and demo decks spanning the Theo automation family and AI analytics portfolio.
Presented redesigned dashboards, Theo agent solutions, automation architecture, and the ADO Query Manager to stakeholders—translating deep technical work into clear choices, adoption paths, and decision-ready narratives.
Eliminated duplicate IDs and names, rogue notifications, stale publishes, fiscal sorting defects, double-counting, invalid system-account behavior, and broken ranking logic.