- Anomaly Detection Tests and Algorithm experiments in Market Timeseries data
- K-Means Clustering
- Kalman Filter & Ornstein–Uhlenbeck Process for Pairs trading study
- Market Noise: Price Density & Efficiency Ratio - Study & Data Analysis
- Introductory to Applied Mathematics: Self Study Notes & Practice with solutions
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On a perpetual exploration of Business Analytics & Financial-ML through continuous hands-on learning and active trading. Open to collaborations.
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