"Advanced Financial Data Analysis using Causal Inference & Python"

"In this project, I developed a sophisticated algorithmic auditing tool that monitors 197 causal nodes to extract market Alpha.

​Key Achievements:

​Achieved a Cumulative Alpha of 2.13%.

​Maintained a Sharpe Ratio of 0.6955, ensuring risk-adjusted returns.

​Implemented 'The Logic of One' to decode complex pairwise correlations in real-time.

This model provides dry, high-precision data reports for institutional-grade decision support."