zaynab User

Owned fraud, credit, and payment-risk analysis across large-scale transactional and behavioral data, translating ambiguous risk questions into structured investigations and corrective recommendations. Built SQL/Python workflows and automated SOP workflows, reducing manual QA reporting time by 80%.

Built repeatable SQL/Python reporting workflows, dashboards, KPI datasets, and operational reporting across revenue, customer, product, finance, and performance data, reducing recurring ad hoc reporting by 40%. Partnered with cross-functional teams to define metrics and automate reporting.

Managed interconnected data-center and supply-chain workstreams across Engineering, Procurement, Planning, Logistics, OEMs, vendors, and leadership, tracking milestones, dependencies, risks, and escalations. Built executive dashboards and readiness summaries to support capacity, supply, and deployment decisions.

Built SQL/Python trend analyses, predictive models, and reusable dashboards that identified early churn indicators and enabled 20% higher retention in priority segments. Developed a supplier-selection optimization model that reduced acquisition cost by 15%.

Managed SQL/Tableau dashboards across procurement, logistics, production, fulfillment, inventory, and workforce planning for 12 regions, standardizing 20+ enterprise metrics. Built Python and Excel demand, inventory, capacity, and resource-planning models that improved forecast accuracy by 20%.

Partnered with Product and Initiative Leads to define objectives and core metrics, maintain workstream dashboards, evaluate growth levers, size opportunities, and translate insights into execution direction.

Pursued a Master of Science in Business Analytics and Data Science.

Pursued an Executive Master of Science in Financial Engineering and Quantitative Analysis.

Earned a Bachelor of Science in Applied Mathematics.