PostgreSQL Metro 2-style remediation sandbox for synthetic longitudinal tradelines, credit-impact windows, cure logic, treatment assignment, QA, and audit-ready before/after reporting.

Metadata-driven SAS engine for insurance coverage reconciliation: merges overlapping proof periods, applies lapse-threshold rules, and calculates policy adjustment factors and executive liability signals.

GenAI-powered regulatory risk analysis engine using Isolation Forest and OpenAI API for automated compliance insights.

Senior data science architect building enterprise-scale decision systems across credit strategy, forensic data integrity, regulatory remediation, risk modeling, and board-ready analytics.

Python forensic data-integrity engine that scores raw datasets, detects hidden nulls, bias, format defects, and zero-variance fields, and generates audit ledgers and executive scorecards.

High-scale SAS TVM engine using 1-year CMT Treasury rates, PROC FCMP arrays, chunked processing, annual compounding, and final remainder interest for remediation liability calculations.

SAS reconciliation and audit-governance engine for tolerance-aware A/B dataset comparison, schema drift, key-only/value differences, run metadata, UAT validation, and CSV outputs.