Amarendra Badugu's Blog and Portfolio

A series of principles and practical habits for building, managing, and sustaining computational and data science projects with clarity and reproducibility.

Data is never clean, and that’s okay. Understanding its noise, origins, and structure tells us a lot about the data.

Algorithms are no longer just reacting to data, they are changing the world so that the data better fits them. So algorithms are not neutral at scale, they shape the world. In the process, they begin to cooperate, shape markets, and alter human behavior in ways that look a lot like quiet collusion.

An examination of solar irradiance and TSI, including the dataset and preliminary plots.

I built a system with DuckDB, and Streamlit to monitor and manage energy prices for better control and planning LLM jobs during winter