Financial Analytics & AI
Where finance meets computation
My applied analytics work — and a working financial statement analysis tool you can use right now. Note: ratio computations are deterministic finance, not a live AI service.
AI in Financial Analysis
Where machine learning genuinely helps analysts — pattern detection, screening and anomaly flagging — and where it overpromises.
AI-Based Company Valuation
Blending DCF discipline with data-driven comparable selection and scenario generation.
Financial Statement Analysis
Systematic ratio frameworks: liquidity, solvency, profitability, efficiency — try the working tool below.
Financial Ratio Analysis
DuPont decomposition and Altman Z-Score as diagnostic lenses on company health.
Investment Research
Structured research workflows: hypothesis, data, test, conclusion — reproducible by design.
Portfolio Analytics
Risk decomposition, attribution and optimization beyond the single-stock view.
Financial Forecasting
Time-series methods from ARIMA to gradient boosting, and the honesty of out-of-sample testing.
Python & R in Finance
Practical programming for finance: pandas, numpy, quantmod and reproducible research notebooks.
Working tool
Financial Statement Analysis
Enter income statement and balance sheet figures (any consistent currency/crores), or load a clearly-labelled sample company. The tool computes liquidity, solvency, profitability and efficiency ratios, a DuPont decomposition and the Altman Z-Score with diagnostic notes.