Projects that show delivery, not demos.

These projects were built inside a regulated, enterprise environment. Each one is scoped to real-world constraints, tested with stakeholders, and designed to drive measurable outcomes.

Capability snapshot

  • End-to-end builds: data ingestion to surfaced insights
  • Automation design across multiple platforms and tool stacks
  • UX/UI thinking for adoption, clarity, and governance
  • Finance, risk, and productivity domain experience
Selected Work

Enterprise project highlights

Each entry outlines the tools used, what was built, and why the work mattered to business outcomes.

Credit Risk Early-Warning System (End-to-End Build)
DOMO Jupyter Notebooks Python

What was delivered

  • Designed and coded a full credit-risk warning system from scratch.
  • Built inside Jupyter Notebooks hosted in DOMO with live and near-live external news signals.
  • Implemented data ingestion, text processing, sentiment and risk scoring, and threshold-based alerting.
  • Output clear risk indicators that could be surfaced to finance and leadership teams.

Why it mattered

Enabled proactive risk detection instead of reactive reporting and demonstrated strong Python fundamentals, data logic, and business translation tailored to finance and credit-risk use cases.

Finance Invoicing Automation Workflow
Automation platforms Finance systems

What was built

  • Multi-step invoice processing workflow connecting source systems, validation, transformation, and routing.
  • Logic to detect missing or incorrect invoice references and route exceptions for clarification.
  • Outputs integrated into finance planning tools to reduce manual admin.

Why it mattered

Delivered direct operational efficiency by reducing manual handling, errors, and rework for finance teams in a business-critical workflow.

Meeting Cost Calculator (Enterprise Productivity Tool)
Outlook Automation stack

What was created

  • Calculator that estimates real-time meeting cost based on attendees, duration, and roles.
  • Integrated into everyday workflows to influence behavior change, not just report metrics.

Why it mattered

Used as a decision-making and awareness tool that helped leadership rethink unnecessary meetings and modeled strong UX and change-management thinking.

Workflow Automation Portfolio (Simple → Complex)
Power Automate Gumloop n8n

What was built

  • Automations covering inbox intelligence, priority detection, daily summaries, and notification logic.
  • Multi-branch workflows with conditional logic, error handling, data extraction, and validation.
  • API-driven flows with custom nodes, including debugging HTTP errors, payload mismatches, and logic collisions.

Why it mattered

Demonstrated tool-agnostic automation design and the ability to diagnose real workflow failures, not just rebuild templates.

UX / UI Design for Internal AI & Transformation Teams
Web builders Design tools Rapid prototyping

What was delivered

  • Designed clean, brand-aligned layouts for internal AI initiatives.
  • Produced multiple visual styles tailored to corporate and experimental audiences.
  • Focused on accessibility, clarity, and adoption by non-technical users.

Why it mattered

Bridged design, AI, and automation to improve uptake of internal tools while aligning with enterprise governance expectations.

Cross-Tool, Cross-Domain Capability
Data science Automation Product thinking

What this shows

  • Ability to move between data science, automation platforms, and UX/UI thinking.
  • Comfort working with finance, risk, productivity, and transformation stakeholders.
  • Delivery mindset in a large, regulated Fortune 500 environment.

Why it mattered

Signals readiness for enterprise-scale delivery and the ability to translate technical work into business impact across domains.

Ready to talk about impact?

Open to roles focused on AI delivery, automation strategy, and enterprise transformation.

Get in touch