My Commit Log

👋 Introduction In a world where everyone wants to “learn data,” I decided to stop browsing tutorials and forge my own path . I created a personal 30-day challenge called Analyst Forge , a structured system to practice real data thinking every day using Python, Jupyter Notebooks, and Power BI . In this post, I’ll walk you through the project structure, learning methodology, tools used, and how I turned this into a skill-building journey — and a step toward becoming internship-ready. 📁 Folder Structure and Workflow Each day of the challenge was contained in a clearly labeled folder like 01 , 02 , and so on. Here’s what every question folder typically included: *_question.ipynb – A Jupyter Notebook with the full problem and solution Notes.md – My written explanation (answers), thought process, insights, mistakes, and learnings Dataset files – CSV or Excel files (real or simulated) used in the analysis (Optional) : valuable_insights.md or .pbix files for Power BI da...

💭Introduction Creating a LaTeX-based project to document a problem-solving journey is not just about typesetting — it's about shaping a system. “ The Thinking Path ” began as a simple idea to make neat notes, but it quickly evolved into a full-blown experiment in design, structure, and patience. Here are the hurdles I faced along the way, and how I overcame them.