Threat-Intel Analytics Engine
A multi-layer analytics platform built for a DNS-research and threat-intelligence company, whose research content served governments and security organizations relying directly on the product. I engineered automated data pipelines, a suite of recurring reports, and visual dashboards that gave the content team a clear, real-time read on which research articles actually moved the audience.
"An analytics system is only as good as the angles it covers. Automation to keep the data current, multiple reports so different teams could act on it, and visualizations that made the signal obvious at a glance. That combination turned raw blog and event data into a repeatable content engine for an audience that doesn't click on fluff."
Research-driven content aimed at government and security buyers needed a way to prove which articles actually mattered. Blogs, events, and other properties ran with no unified automation, reporting, or visualization layer connecting content performance to the audience using the product.
I built the system across three angles: automation to keep the data pipelines current without manual pulls, a suite of recurring reports the content team could act on directly, and visual dashboards that made performance legible at a glance. The output told the content team exactly which research articles were landing with government and security buyers, and let them produce more of what worked.
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