Kai Walker Donovan
Data analyst and platform builder across BI, operations, product, AI tooling, and partner-facing analytics, with shipped products, measurable adoption, and multi-million-dollar impact.
Headline evidence recruiters can scan in seconds. Full case studies and metrics sit behind Work and Impact.
~200k
Lines shipped (LookML, Python, platforms)
~$2M+
Traceable savings realised
174
Registered users (Capture)
~100
Hub monthly active users (Analyticado)
~10
Retail partners supported
Three representative builds: an analytics discovery hub, a conversational analytics assistant, and an independently shipped consumer app with live usage metrics.
Centralised analytics hub with ~100 monthly active users
~100 monthly active users
Analyticado made trusted analytics easier to find. Dashboards, metadata, and usage signals sit in one searchable hub, supporting roughly 100 monthly active users and roughly a tenfold lift in engagement compared with the previous scattered entry points.
Read case studyOne chat for sourced answers and conversational analytics
One assistant for sourced answers from docs and conversational analytics for metric questions
K-AI gives teams one place for sourced answers from internal docs and the dashboard catalogue, plus conversational analytics when the question is really about numbers. Routing is tuned so people land on trustworthy explores, long answers run reliably behind corporate proxies, and analytics owners could tighten behaviour before wider rollout.
Read case studyCross-platform photo sharing app on iOS & Android
Launched on both app stores (January 2026)
Independently shipped Capture on iOS and Android: shared photos surface after a delay, with subscriptions, one-time purchases, and ads configured end to end. Public metrics on this site show acquisition and retention moving as the product ships.
View product proofAnalytics platforms, BI and product tooling, AI-assisted workflows, and operational insight from messy frontline data to exec-ready narratives.
Discovery hubs, embedded BI, and governed metrics so teams find trusted answers without hunting across tools.
Roadmaps grounded in usage, navigation that reflects how operators search, and dashboards tuned with stakeholders.
Retrieval, routing, and guardrails so assistants cite sources and hand off cleanly to governed analytics.
Forecasting, cost-to-serve, and fulfilment analytics that change staffing, routing, and inventory decisions.
Analytics only lands when people trust the numbers and know what to do next. A recurring part of my work is managing stakeholders across commercial, operations, and tech, from discovery and prioritisation through readouts, adoption, and follow-up.
~200k
Lines of code contributed
~$2M+
Traceable savings realised
174
Registered users (Capture)
100+
Users trained on self-serve analytics
One-page snapshot of scope, stack, and outcomes. Download for ATS or share ahead of a conversation.
How I collaborate, where I add the most value, and what I want next. Includes a PDF download that mirrors the page.
Read working styleConsumer app I build and ship end to end. Public metrics mirror what I watch when prioritising releases.
