About

Hi! Thanks for stopping by.

This blog is simply my personal space on the internet where I write about Data Science, the things I learn along the way, and the problems I try to solve through data, models, and experiments.

I started this blog because whenever I was trying to learn something new in data science, I always felt that most explanations online were either too complex, too academic, or felt like they were written for experts only. So here, I try to write things in a way that actually makes sense — simple, practical and usable in real projects.

I cover topics like:

• machine learning concepts explained in plain language

• step-by-step problem solving

• real world AI and agent based systems

• data science thinking for business decisions

• MLOps + deployment lessons I learn the hard way

• what I build, break, fix and improve

I write from my personal experience, curiosity and mistakes. I don’t claim to know everything — I’m learning every single day — and this blog is my public notebook of that journey.

If you enjoy data science, AI, experiments, and learning through real hands-on work, you’ll feel at home here.

Thanks for reading and being part of this journey.