
This project is a multi-year data analysis of the education system in Jammu & Kashmir, covering the period from 2022 to 2026.
The goal was to analyze how students transition from school (Class 10th and 12th) to higher education, while also studying gender balance, institutional capacity, and pass rates.
Educational data is often fragmented across multiple sources, making it difficult to:
Without structured analysis, identifying systemic gaps becomes challenging.
The project involved collecting and organizing data from multiple sources, followed by analysis using Excel and Python.
The workflow included:
A Looker Studio report and a structured PDF report were created to present insights in an accessible format.
This project demonstrates how structured data analysis can be used to understand large-scale educational systems.
It highlights the importance of longitudinal data in identifying trends, gaps, and opportunities for improvement in policy and planning.


