Data & AI Practice · Machine Learning
Machine Learning Engineering
Predictive analytics, demand forecasting, anomaly detection, and recommendation engines — production ML models on Databricks, Azure ML, and MLflow.
Demand Forecasting
ML-powered demand forecasting for inventory, production planning, and procurement — trained on your historical SAP data with external signal integration (weather, market, economic indicators).
Anomaly Detection
Real-time anomaly detection for financial transactions, quality metrics, equipment performance, and supply chain signals — surfacing exceptions before they become incidents.
Production Model Deployment
MLflow-managed model registry, A/B testing, and production monitoring on Databricks — with automated retraining pipelines and drift detection keeping models accurate over time.