I am currently studying B.Tech Data Science at Techno in Kolkata. This site is where I document what I am learning in AI, Data Science, and software, one experiment and one tested idea at a time.
I write to remember what worked, what broke, and what I would try differently next time.
My focus is applied machine learning, practical data pipelines, and transparent tool evaluations. I work mainly with Python and SQL, and I use analytics exercises to check whether a model or pipeline actually does what I expected.
When I review a tool, I explain what I used it for and disclose affiliate links where they exist. Career-learning updates and student resources follow the same rule: I share only what I have tried and can describe plainly.
Toolkit
Current coursework and study interests
A snapshot of the areas I am actively studying and practicing. This list reflects coursework and personal experiments, not certifications or completed commercial work.
Programming
Python and SQL
Writing scripts, querying datasets, and testing small data workflows as part of my B.Tech coursework and personal practice.
Data
Analytics and pipelines
Cleaning data, exploring patterns, and documenting how a simple pipeline behaves when inputs change.
Learning
Machine learning and AI tools
Studying core machine learning methods and evaluating AI tools with clear notes on what each one can and cannot do.