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Module: FI/CO✕
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Deployed a time-series forecasting model via SAP AI Core to predict monthly cost center expenditure from CO actuals and budget data. The model runs nightly, writes predictions into a custom HANA table, and surfaces them in a BTP-hosted SAC story for business controllers. Enabled more accurate mid-year reforecast cycles.
SAP S/4HANA Finance Consultant | FI/CO, BTP, Analytics
Built a Python-based anomaly detection pipeline on top of S/4HANA GL data extracted via OData APIs. The model flags unusual journal entry patterns (unexpected account combinations, off-cycle postings, and high-value reversals) and routes alerts to the finance controller team via a Fiori notification tile. Reduced manual month-end review time by roughly 40%.
SAP S/4HANA Finance Consultant | FI/CO, BTP, Analytics