Sr. Director, Analytics & Insights with 17+ years across consumer products, manufacturing, retail operations, engineering, and enterprise data. I connect strategy to working systems: roadmap, governance, source data, metric layer, adoption path, and measurable operating impact.
The useful details are the mechanism: what changed, what was connected, who used it, and what improved.
Connected machine events, service history, POS and app signals, and operational reporting paths for distributed laundromat operations. The result was not a dashboard demo; it was a reliability loop operators could act on.
Directed analytics applications and ETL work across a broad manufacturing footprint, translating plant-floor data into reporting, training, and decision layers people could actually use.
Built small systems end to end: edge telemetry, hosted dashboards, persistent APIs, public routes, and operational alerts. Small enough to inspect; real enough to keep running.
I like the unglamorous middle: understanding the work, finding the decision that needs to improve, building the data path, and making the result usable for the people running the business.
Hi, I'm Kyle. I lead analytics, consumer insights, and data product work where business leaders need better decision systems, not just more reports. I have engineering roots, product instincts, and enough hands-on build experience to know when a system will survive launch — and enough senior operating experience to align roadmap, governance, stakeholders, and value realization.
Scope, systems built, measurable outcomes, and the adoption work required after the demo is over.
Sensors, APIs, dashboards, game loops, MCP tools, Docker services, and public endpoints. These projects show technical fluency behind the leadership work: instrument, route, persist, visualize, alert, and iterate.
The useful split is hands-on tools, architecture patterns, and business domains where the work creates leverage.
B.S. Mechanical Engineering — 2008.
Specialization: Computational Fluid Dynamics, Heat and Mass Transfer.
Mechanical-engineering roots still shape the operating style: understand the physical or business system, instrument the constraint, ship a useful mechanism, and keep improving it with evidence.
I’m most useful where operations, data, and product delivery overlap: analytics platforms, IoT telemetry, manufacturing systems, AI/data adoption, consumer insights, and reporting that has to hold up after launch.