Sheep.AI Advisory LLP

Sheep.AI Advisory LLP — Credit-risk model artefacts and macro-scenario datasets for Indian lending markets: cohort-based vintage analyses and rating-migration transition matrices across loan tenors and borrower segments (Retail, SME, Corporate, Microfinance); Probability-of-Default, Loss-Given-Default and Exposure-at-Default model parameters calibrated to Indian portfolio data (Vasicek PD with Pluto-Tache loss-period-deviation adjustments); origination and behavioural scorecards built on weighted-of-evidence binned variables with information-value selection; IndAS 109 / IFRS 9 stage-classific…

Sheep.AI Advisory LLP offers (Fundamental, Reference, Alternative, Sentiment) — Compact but high-value: model-parameter and vintage/migration tables per client portfolio and segment, a quarterly-updated RBI DBIE macro scenario store (a few dozen series), district-level decile panels across Indian districts, scorecard variable dictionaries, and 80,000+ pre-scored prospective-borrower records in the education acquisition line — likely well under 1 GB of structured data whose worth is calibration content, not volume.

Training and validation of credit-risk models for Indian lenders; provisioning and capital-planning benchmarking under IndAS 109 and ICAAP; early-warning and NPA-prediction model development using district-level decile migration; lending-strategy stress testing against regulator-anchored macro scenarios; portfolio acquisition and book-due-diligence pricing; geographic concentration and rural-credit risk analytics; alternative-data credit-scoring research; regulatory-model-validation reference data; agent grounding for Indian banking-compliance questions. Separately, the firm's education-vertical acquisition line generates 80,000+ pre-scored parent records with fee-payment-consistency metadata used as ability-to-pay signals — a distinct alternative-data asset.

The data is with 1 years of history.