🏠 Profile · ⚡ Skill Forge · 🧪 Innovation Lab · 📊 Data Arena · 🚀 LaunchPad
"Don't move on until you truly understand how something works."
This is my learning zone. Every repo here is a structured log of me wrestling with a concept until I own it — mistakes, breakthroughs, and all.
My structured 100-day DS learning log — from zero Python to Machine Learning, following CampusX.
Structured solutions for LeetCode SQL 50 problems with clean, optimized queries organized by difficulty (Easy, Medium, Hard). Focused on strengthening SQL fundamentals through consistent practice and real problem patterns.
MongoDB fundamentals — CRUD, operators, indexing, aggregation — applied through two real pipelines: NYC taxi trip analysis (4M+ records) and a car price prediction model, using PyMongo as the working data layer between raw data and ML.