Leg3 is a data consulting and analytics practice focused on practical, explainable technical work. The goal is to help organizations turn messy data, fragmented systems, and unclear operational questions into analysis, dashboards, automation, and decision-support workflows that can actually be used.

The work is shaped by experience across systems administration, infrastructure, data science, statistical modeling, automation, and self-hosted platforms. That background makes Leg3 especially interested in the full path from raw data to usable insight: how data is collected, cleaned, modeled, visualized, deployed, secured, and maintained.

Rather than treating analytics as something separate from infrastructure, Leg3 approaches data work as part of a larger technical environment. A dashboard, model, or AI-assisted workflow is only useful if it can be explained, refreshed, trusted, and supported over time.

Current areas of focus include public data analysis, time-series modeling, self-hosted analytics, local AI experimentation, reproducible workflows, and interactive visualizations. Leg3 favors tools and architectures that preserve control, improve transparency, and make complex systems easier to reason about.

Leg3 was established in 2015 and continues to evolve from its original IT and infrastructure roots toward data science, analytics, automation, and locally hosted AI workflows.