Miscellaneous Works and Studies

Here, I share my works and studies on a diverse array of topics: Quants and Finance, Reinforcement Learning, Machine Learning, Regression, Algebraic Complexity Theory, Analytic and Algebraic Number Theory,

The courses I have taken till now are in my Courses Page.

Data Analytics and AI Pipelines

• Time Series Analysis in Python + SQL (2025 -- Present) [Repository]

Quants and Finance

• Quant Project on Nifty and Bank Nifty (2025) [Repository]

Reinforcement Learning

• Automated Stock Market Investment Using Reinforcement Learning (2024), Supervisor: Prof. K. V. Subrahmanyam, CMI [Repository]
• Reinforcement Learning Assignments (2024), Instructor: Prof. K. V. Subrahmanyam, CMI [Repository]

Machine Learning

• Topological Machine Learning I (2023), Supervisor: Prof. Kuntal Roy, IISER Bhopal [Repository]
• Topological Machine Learning II (2024), Supervisor: Prof. Kuntal Roy, IISER Bhopal [Repository]
• Data Mining and Machine Learning Assignments (2024), Instructor: Prof. Madhavan Mukund, CMI [Repository]

Regression

• Quantile Regression (2023), Supervisor: Prof. Mohan Delampady, ISI Bangalore [Presentation]

Algebraic Complexity Theory

• Polynomial Identity Testing for ROABPs and Log-Variate Circuit (2024), Supervisor: Prof. Nitin Saxena, IIT Kanpur [Report]

Analytic and Algebraic Number Theory

• Theory of p-adic Numbers and Solving p-adic Equations (2020), Instructor: Prof. B. Sury, ISI Bangalore [Report]