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Retail KPI anomaly detection + hierarchical root cause analysis (STL + robust MAD scoring) with a Streamlit dashboard, built on the M5 Walmart sales dataset.
A dynamic and interactive Sales Dashboard built to analyze business performance across multiple dimensions. This dashboard provides comparative insights between the Current Year (CY) and Previous Year (PY), with the flexibility to select any year as the baseline.
An end-to-end ML-based early warning system that detects KPI degradation before customer behavior visibly changes, combining anomaly detection, root cause attribution, and explainable analytics for proactive decision-making.
A product analytics and operations intelligence platform that optimizes dynamic pricing, inventory allocation, order fulfillment, and delivery performance for quick-commerce businesses using SQL, Power BI, and data-driven decision-making frameworks.
Detects when an operational KPI breaks its own seasonal baseline, then attributes the movement to the dimension slice that caused it, separating a genuine rate change from a mix shift. Measured on seeded ground truth: precision 0.80, recall 1.00, median latency 0 days.
Real-time operational revenue monitoring system with KPI alerting, SLA breach detection, FastAPI backend, premium executive dashboard, and Tableau Public analytics.
Java-based Digital Twin architecture for a Fischertechnik Training Factory. Supports real-time state shadowing, KPI monitoring (OEE, Throughput, Energy), and Cognitive DT extensions for ML-driven anomaly detection and coordinated fault management.
AI Governance Brain — intelligent governance & government workflow platform for accountability, transparency and decision support. Part of Project ARWE.
Panel de análisis ejecutivo 360° que consolida los KPI estratégicos en el desempeño comercial, clientes, rentabilidad, operaciones y gestión de ejecución para la toma de decisiones basada en datos.