Work, and who did what.
Every story says whether I led it, built it, or contributed to it, followed by the problem, my part, the approach, and what changed. Enterprise work is summarized without internal data.
- From report delivery to a governed Data & AI functionLeading NADEC's Business Analytics team from producing reports to running a governed portfolio of data and AI work.Six AI solutions live; roadmap and prioritization model adopted by leadership
- USD 4M of vendor work, done in-house in three weeksMapped more than 20 million plant equipment records to 200,000+ assets with Alteryx and machine learning.USD 4M in vendor costs avoided
- Finance work that took days, now takes minutesA set of automations across accruals, withholding tax, Netback, GR/IR, aging, sales invoices and asset data.About USD 90M of monthly accruals: two days down to under a minute
- 3,000+ analytics assets, proven right for S/4HANAValidation of reports, dashboards, KPIs and analytics assets through the SAP ECC-to-S/4HANA migration.3,000+ reports, dashboards and KPIs validated
- Machine learning for finance controlsFinance use cases spanning intelligent matching, anomaly detection, predictive analytics and duplicate prevention.Similarity logic across 2M+ purchase orders
- Ultra MurdleA bilingual detective logic game with 1,355 cases, ten volumes, and complete English and Arabic right-to-left experiences.Live on the App Store for iPhone and iPad
- ATM identity validation with face recognitionA cross-platform prototype exploring face recognition as a second identity check at ATMs.Recognition rate above 90% in the project's tests