Analytics discovery platform that grew from a searchable hub to an AI diagnostic engine

Team members spent hours searching across dashboards and tools to find metrics and build trust in data. Built an AI decision-support platform unifying metrics, dashboards, and operational docs in one conversational interface with row-level access control. Shipped with modular, LLM-agnostic retrieval, visualization, and answer pipelines. 199 people asked 1,838 questions; 79 recurring users across 16 job families; daily active users peaked at 73.

Governed home for analyst-built calculators and optimisers, agent-ready from day one

Analyst teams build valuable calculators and models every week, but most live outside the main analytics hub: spreadsheets, notebooks, one-off scripts, and small web apps with inconsistent permissions and no shared discovery. Proposed and own a central git repository where tools are built once to a shared standard, reviewed before merge, and callable by conversational analytics as well as through a UI. Proof of concept: ambient/chill SKU cap optimiser and a stakeholder demo tool, with Claude Code guided scaffolding and migration paths for legacy code.

Measured true profitability of bulk beverage promotions after delivery and route costs

Commercial teams knew headline sales for bulk beverage promotions but didn't account for delivery cost per tote, driver costs, or incremental route pressure. Compared baseline and promotion weeks for water and soda across warehouse facilities, modeling delivery costs, tote fill from bulky volume, and opportunity cost. Presented methodology and findings directly to client leadership with Q&A; built reusable guardrails for future promotions. Estimated $420K impact at largest site over seven days; $560K across two sites; approximately $1M network-scale exposure.