Regime-Switching Volatility with HMM
Detect regimes (HMM/SV-HMM overlays), forecast volatility, and adapt exposure with MA100, Panic Mode, and costs.
Quantitative Risk · Regime-Switching · Evidence-based Finance
I build model-driven, risk-first analytics for markets: HMM / SV-HMM volatility, regime-aware allocation, and decision-grade risk controls (MA100, Panic Mode, costs).
Curated work — details inside each card.
SME cockpit: cash runway, risk flags, pricing optimizer. Built with React/Tailwind/Recharts.
Discovery → Pilot → Scale. Dual-track Consulting + SaaS model to validate value, then productize: connectors-first ops, KPI cockpit, and risk-first decision flows. Focus on turning quant methods into clear, actionable outputs for SMEs.
Haulage KPIs, temporal patterns, driver performance and empty-trip analysis with practical actions.
Logit, LDA, and k-NN to classify blue vs white-collar; compare accuracy, PCA boundaries, and ROC.
Three-fund portfolio by risk profile; CAPM/FF3, long-run betas, Monte-Carlo, and stress tests.
AUTO.ARIMA/SARIMA and linear/seasonal/polynomial/ridge; pick best per series by MAE.
Screening framework and evidence on sectors & origins; balanced, pragmatic recommendations.