Nadia Rahmawati

• Led requirements discovery for a core payments migration serving 2.4M monthly active users, delivering on schedule with zero rollback incidents.
• Cut manual reconciliation effort 68% (31 → 10 hours/week) by redesigning the settlement exception workflow with the finance and engineering teams.
• Built a self-serve SQL/Metabase reporting layer adopted by 40+ non-technical stakeholders, removing ~120 ad-hoc data requests per quarter.
• Facilitated 3 cross-functional discovery workshops that reprioritised the roadmap and deferred IDR 1.8B of low-impact scope.

• Specified a route-optimisation module that lifted on-time delivery from 82% to 94% across 1,200 daily shipments.
• Ran A/B analysis on driver incentive schemes, identifying a variant that raised weekend fill rate 22% at neutral cost.
• Authored 40+ user stories with acceptance criteria; sprint carry-over dropped from 28% to 9% over two quarters.

• Automated a weekly churn report in Python, saving 6 analyst hours per week and standardising definitions across 3 business units.
• Supported a customer-segmentation study that informed a retention campaign retaining 4,800 at-risk subscribers.

Rules-driven queue that auto-resolves 7 of 14 payment exception types; adopted as the finance team’s daily workflow.

Open-source Python package for matching ledger entries against gateway payouts. 340+ GitHub stars.