Automating the repetitive middle of analytics work
Marketing reporting pipeline — Python + LLM on GCP
FindDoc · Growth Marketing
Weekly campaign reporting involved the same data pulls and transformations every time. I built a lightweight automation workflow — Python scripts written with LLM assistance, scheduled with GCP Cloud Scheduler and Cloud Functions — that handled the repeated processing end to end.
- −30% reporting man-hours, week after week, at near-zero infrastructure cost
- More consistent outputs — the pipeline doesn't have Friday-afternoon lapses
Compliance case tracking — Power Automate + Excel
Maples Group · Compliance
Sanction screening and case tracking ran on manual effort. I built Excel screening tools (XLOOKUP, pivot-table driven) that accelerated screening itself, and a Power Automate email workflow that took the manual bookkeeping out of case tracking.
- Faster sanction screening through purpose-built Excel tooling
- Automated case tracking — status updates flow through email without hand-copying
AI-assisted content production — repeatable SEO workflow
Preface AI · Freelance
Produced SEO-optimised content on AI technology topics by building a repeatable AI-assisted writing workflow — keyword targeting and search intent defined the brief, AI tools accelerated drafting, and human editing kept quality and accuracy. The point wasn't "AI writes articles"; it was a production system with consistent output and known quality gates.
Product analytics tracking — Segment, Appsflyer, Mixpanel
Automate App · Freelance
Report automation and tracking enhancement for a mobile product: event instrumentation through Segment, attribution via Appsflyer, product analytics in Mixpanel.
Also: Excel/VBA for analytical workflows
In my health-economics decision model, VBA automates repeated scenario runs and refreshes the visual outputs — the same automation instinct applied to a modelling context, improving reproducibility and auditability.
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