Portfolio & Case Studies

Selected work

A few projects that show how I work across migration, AI workflows, reporting, and training.

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Proof metrics

Enterprise Data Lake Migration

reducing query times by 400%

Agentic Workflow Automation

achieving a 78% resolution rate without human intervention

Real-time Analytics Dashboard

reducing downtime by 22%

Enterprise AI Upskilling Program

successfully certifying 50+ data engineers

Case study library

Each one starts with the problem, then the decision made, then the outcome.

I kept the structure tight so the work reads like proof rather than a marketing gallery.

Enterprise logistics modernization

Enterprise Data Lake Migration

Legacy on-premise silos limited reporting speed, data access, and the ability to support real-time BI use cases.

Solution

I moved a fragmented reporting setup into a cleaner Azure Data Lake structure so the team could query data faster and stop rebuilding the same logic in multiple places.

Stack

Azure Data LakePower BIETL pipelinesReal-time BI

Outcomes

  • Enabled real-time BI reporting
  • Unified fragmented enterprise data sources
  • Reduced query times by 400%

Level 1 technical support automation

Agentic Workflow Automation

Support teams needed a more reliable way to parse, categorize, and respond to high-volume Level 1 technical support tickets.

Solution

I set up agents to handle repetitive ticket triage, but kept human review in the loop where it mattered.

Stack

AI agentsWorkflow automationTicket classificationBusiness logic

Outcomes

  • Reduced repetitive triage load
  • Improved response consistency
  • Achieved a 78% resolution rate without human intervention

Predictive maintenance analytics

Real-time Analytics Dashboard

Manufacturing stakeholders needed a high-performance Power BI suite for streaming telemetry from IoT devices.

Solution

I built the BI layer around streaming telemetry so operations teams could see problems earlier and act sooner.

Stack

Power BIIoT telemetryStreaming analyticsPredictive maintenance

Outcomes

  • Surfaced operating signals in real time
  • Supported predictive maintenance decisions
  • Reduced downtime by 22%

MCT-led technical enablement

Enterprise AI Upskilling Program

Data engineering teams needed structured training across advanced cloud architecture and cognitive services integration.

Solution

I designed the training program around adoption, not attendance, so teams could use the material after the course ended.

Stack

MCT deliveryCloud architectureCognitive servicesEnterprise curriculum

Outcomes

  • Scaled applied AI capability across teams
  • Created a repeatable learning path
  • Successfully certified 50+ data engineers

Proof to action

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