I help credit funds, lenders, and structured finance teams design and build the data systems that sit between messy inputs and reliable analytical outputs.
Designing and building the systems that turn heterogeneous financial data into reliable, structured outputs — across formats, standards, and jurisdictions.
Valuation, risk, stress testing, and cash flow modeling for credit and structured finance. From single-asset analysis to portfolio-level frameworks.
Replacing manual workflows with scalable, automated pipelines. Turning recurring operational bottlenecks into systems that run without intervention.
Applying modern techniques to financial data problems where traditional approaches break down — document processing, classification, anomaly detection, NLP.