01

Data Science

Predictive and causal models that move the metrics your leadership reports on — built with the statistical rigor that survives scrutiny.

• Predictive modeling & forecasting→
• Causal inference & experimentation→
• Customer segmentation & uplift modeling→
• NLP, document intelligence & RAG→
• Decision systems & optimization→

02

MLOps & ML Platforms

Production ML infrastructure that makes deploying, monitoring and rolling back models a routine event rather than a quarterly project.

• Training & inference pipelines→
• Feature stores and data contracts→
• CI/CD for ML, registry & lineage→
• Drift, fairness & performance monitoring→
• Cost & latency optimization→

03

Model Risk Management

Independent validation and governance aligned with SR 11-7, the EU AI Act, PRA SS1/23 and emerging US guidance.

• Independent model validation→
• Model inventory & tiering frameworks→
• Documentation & effective challenge→
• Bias, fairness & explainability reviews→
• Regulatory exam preparation→