Analysts and investment teams need a practical way to monitor changing market regimes without rebuilding signal views manually.

A deployed model app that packages regime detection logic into an accessible dashboard for market monitoring and interpretation.

• Portfolio managers
• Quant analysts
• Research teams
• Investment committees

Model demonstration, research product, subscription access, and institutional analytics licensing.

Streamlit application backed by Python analytics, market data processing, model outputs, and dashboard-oriented presentation layers.

• Python
• Streamlit
• Pandas
• Quantitative modelling
• Market data

Product architect and quantitative builder responsible for model concept, product framing, and deployed app direction.

• Live deployed model app available for review.
• Demonstrates practical delivery of quantitative market intelligence.
• Backed by a dedicated GitHub repository and deployable Streamlit architecture.

• Extend model documentation and interpretation notes.
• Add richer market coverage and signal diagnostics.
• Package outputs for institutional reporting and API delivery.