Journey into Discovery: My Research Portfolio

My research interests cover varied areas of computer science, statistics and mathematics.

My current works are focused on:

• Causal AI in Supply Chain and Causal Aware Models in CNNs
• Causal Inference on Dynamic Systems and Causal AI based on Time Series Causal Models.
• Construction of an Automated Stock Market Trading model based on Reinforcement Learning and Distribution Theory.

You can take look at Publications and Miscellaneous Works and Studies for my research works and studies.

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Research Interests

Statistical Machine Learning, Causality, Algorithmic Trading, Graph Theory, AI

Master's Thesis

Exploring Causality and Explainability in Time Series Models supervised by Prof. K. V. Subrahmanyam
[Repository] [Report] [Presentation]

Main focus of the thesis is listed below:

• Looking into the Causal Aspect of Time Series Models
• Implementing algorithms like PC, Greedy Search using BIC with slight modification according to our dataset to get a hold of Causal Network
• Event Identification and Causal Analysis on Medical Time Series datasets of ECG
• Causal Aware CNN Model Implementation on ECG dataset for improving the classification of Occluded MI