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Credit Analysis Portfolio

Independent credit analyses conducted using US GAAP financial statements and SEC filings, applying DFAST-style stress testing methodology to evaluate corporate and sovereign credit risk.


6-ratio credit analysis with a 3-scenario stress test through 2028. Debt/EBITDA improved from 4.57x to 2.30x. Recommendation: Approve with Conditions.

Python model calculating expected loss across an 18-loan portfolio (BBB–CCC) using Moody's/S&P default benchmarks. (In Progress)

20+ years of daily CDS spreads across 19 sovereign nations (Bloomberg) plus cross-country short-term interest rates (FRED), structured into a usable panel dataset.


Tools Used

Excel (Advanced — 3-tab financial models, scenario switches, sensitivity tables), Python, Bloomberg Terminal, FRED API, SEC EDGAR, DFAST-style methodology.

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Independent credit analyses using SEC filings, Bloomberg, and DFAST-style stress testing methodology to evaluate corporate and sovereign credit risk.

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