Mohammed Omor

Automated budget pacing, optimisation alerts, and reporting using n8n + Airtable + Looker, cutting reporting prep time by 75%. Built internal self-serve dashboards enabling teams across 4 continents to launch, track, and optimise paid media campaigns. Delivered scalable automation for retail media expansion, enabling Intel’s Amazon Ads presence in 4 new markets.

Designed and deployed AI-powered lead scoring and segmentation system using GPT-4 API + Zapier, boosting qualified lead conversion by 27%. Built REST API integrations to sync CRM, analytics, and ad platforms, eliminating manual data entry and reducing reporting time by 15 hours/week. Created reusable automation templates for onboarding and reporting, enabling deployment across 5+ client accounts with minimal setup time. Led adoption workshops for commercial and operations teams, achieving 85% active usage within the first month. Evaluated and selected optimal AI models for specific workflows (e.g., GPT-4 vs Claude) based on accuracy, latency, and cost.

Automated campaign QA/reporting pipelines (Make.com + Slack), reducing manual workloads by 60%. Created creative testing dashboards merging AppsFlyer + campaign data for asset optimisation. Developed custom targeting scripts in Google Sheets for multi-region segmentation.