🔹 Making Data Work

Data is only valuable when it moves — into conversations, decisions, and action.

I treat data like infrastructure — it has to flow cleanly from systems to humans. That means engineering pipelines that are reliable, building models that are understandable, and creating visuals that guide decisions, not confuse them.

• Operations Dashboards: Real-time visuals for productivity, turn times, and machine efficiency
• Discharge Planning Tool: Python + Power BI model that identifies potential up-and-over moves, helping planners reduce re-handling
• Cost Allocation Engine: Automated data pipeline for Finance that allocates OPEX based on gate and yard activity data

🔹 Driving Operational Excellence

Every inefficiency is an opportunity hiding in plain sight.

I use Lean Six Sigma and continuous improvement principles to make container terminals more agile, not just more efficient. I focus on repeatable wins — the kind that don’t just improve one shift, but shift the way the whole operation thinks about improvement.

• Container Flow Study: Used spaghetti diagrams, value stream maps, and regression analysis to propose layout changes that reduced gate congestion
• Chassis Utilization Tracker: Developed a tool to measure idle chassis time and optimize deployment
• Kaizen Events: Led cross-functional improvement workshops with measurable throughput gains

🔹 Empowering Teams

Because analytics without alignment is just noise.

In my role, I don’t just build dashboards — I build clarity. Every tool, model, or workflow I develop is designed with the people who use it. That means embedding myself in the planning office, riding along with operations teams, or sitting down with finance analysts to really understand how decisions get made.

🛠️ How I Work

Curious. Collaborative. Outcome-driven.

Understand the business need. I start by talking with the people who feel the friction — not just the people who asked for the dashboard. Whether it’s a planner trying to reduce vessel dwell or a dispatcher chasing cycle time delays, I dig in until the real need is clear.

Get my hands dirty with the data. I believe in owning the pipeline — from raw source systems to final visualization. Whether it’s TOS exports, yard sensors, or manual logs, I know how to clean, shape, and automate it.

Design iteratively. I prototype fast, share early, and revise often. Every visualization I build is co-created with users, not just for them.

Validate impact. I define success upfront — and then measure it. My goal is always real-world results, not just pretty charts.

Document and empower. Once a solution is live, I make sure it’s maintainable, understood, and ideally, owned by the team it supports.

Toolbelt: Python, SQL, Power BI, Lean Six Sigma Green Belt, JIRA, Excel (yep, still a power user)