/A minimal, responsive and feature-rich Jekyll theme for technical writing. 2026-08-05T05:17:29+00:00 your_full_name / Jekyll © 2026 your_full_name /assets/img/favicons/favicon.ico /assets/img/favicons/favicon-96x96.png 2026-02-07T12:50:43+00:00 2026-08-05T05:12:51+00:00 /posts/breaking-big-problems-into-small-reliable-steps-with-prompt-chaining/ your_full_name

{% raw %} Large Language Models (LLMs) often feel intelligent enough to handle anything in a single instruction. But in real world applications, giving one massive prompt is like asking a human to cook, serve, clean, and manage accounts at the same time quality drops quickly. Prompt chaining treats an LLM like a team member in a workflow rather than a one shot oracle. By dividing a complex g...

2026-02-07T12:28:32+00:00 2026-08-05T05:12:51+00:00 /posts/there-is-nothing-random-inside-a-computer/ your_full_name

{% raw %} Have you ever wondered how your music app shuffles thousands of songs, or how a video game generates a brand new world every time you hit “New Game”? It feels like digital magic. We call it “random,” but in the world of silicon and circuits, true randomness is actually quite hard to find. In fact, your computer isn’t “guessing” at all. It’s following a recipe. The Secret Recipe: Th...

2026-02-05T09:47:59+00:00 2026-08-05T05:12:51+00:00 /posts/django-forms-amp-validations-from-simple-to-advanced/ your_full_name

{% raw %} When I first started learning Django, forms looked magical. I would write a few lines, call is_valid(), and Django somehow knew whether my data was correct or not. Only later did I realize how much work Django does behind the scenes (batteries included) type conversion, sanitization, security checks, and structured validation. Forms are the front gate of your application. Every pie...

2026-02-05T09:19:17+00:00 2026-08-05T05:12:51+00:00 /posts/movielens-360-user-retention-recommendation-amp-engagement-analytics/ your_full_name

{% raw %} Imagine You are working as a Data Scientist in “StreamFlix” – a Netflix-like platform Management Problems Users install app → watch few movies → disappearHomepage recommendations are weakContent team doesn’t know:Which genres retain usersWhat time people watchMarketing wants:Who to target with offers DATA SOURCE MovieLens Dataset (Core) https://grouplens.org/datasets/movielens/25m/...

2026-02-05T09:07:30+00:00 2026-08-05T05:12:51+00:00 /posts/e-commerce-customer-360-churn-amp-revenue-analytics/ your_full_name

{% raw %} 1. Business Problem (Industry Scenario) You are hired as a Data Scientist for an online marketplace similar to Amazon/Flipkart. The company has 3 major issues Customers are silently churningMarketing budget is wasted on wrong usersRevenue forecasting is inaccurate Management Questions Who are our most valuable customers?Which customers will churn next month?What will be next 30 days...