My reflections on Statistical tools, Machine Learning and AI.
Each post documents key concepts, lessons, and results.
Blogs
Featured Articles
Making the Complex Simple. These blogs document both the successes and failures I’ve learned from.
What Does Flattening an Image Mean?
From pixels to prediction — why flattening is essential in neural networks.
Gradient Descent Explained Visually
Visual and code walkthrough to understand how models learn using gradient descent.
What is a p-value?
A simple explanation of how p-values help assess statistical significance.
More Coming Soon
New blog posts are in the works — from GenAI experiments to platform playbooks, stay tuned for more practical product and data insights.