2024-2026
ReMarkets
Senior Data Analyst
Owned analytics, planning, data platforms, forecasting, and applied AI for a hyperscale reverse-logistics program.
About / Paul Murphy
An operator who happens to build data systems.
I work best where the data is messy, the operating problem is real, and the answer needs to survive contact with the business.
The through line
My path started with markets and economics, moved through consulting and business intelligence, and eventually landed in end-to-end ownership of analytics, planning, infrastructure, and AI systems.
That mix matters. I am comfortable in Python and platform architecture, but I care most about what the system changes: a contract, a staffing plan, a reporting cycle, or the speed of a decision.
I tend to work from the constraint backward. Understand the economics, find the decision that is failing, establish the data underneath it, and then make the result useful to the people operating the business.
Based in Maryland. Outside work, I spend time on fitness, bass fishing, live music, markets, and whatever technical project has taken over the desk that week.
Experience
2021-2022
Accelerated Growth Advisors
Associate
Delivered cloud data warehouses, executive analytics, and automated reporting for consulting clients.
2017-2020
Purdue University
B.S. Economics
Concentration in data analytics and management consulting, with certificates in applied data science and entrepreneurship.
Independent lab
A private Linux compute cluster for local agents, remote jobs, and learning by building.
I assembled the machines from mixed hardware, run workloads in Docker, and drive the cluster or workstation from a MacBook over a private Tailscale network and SSH. Local models come through Hugging Face and Ollama; useful outputs return to the main workstation or GitHub.
Private by design / no public ingress / no live telemetry
Working kit
- Ubuntu + Pop!_OS
- Docker + Compose
- Tailscale + SSH
- Ollama + Hugging Face
- Local coding agents
Start with the problem