Projects

Research Projects

1. Spatial Inequality in Access to Elite Public Schools: Evidence from India’s Jawahar Navodaya Vidyalaya System

Summary: This study analyzes district-level admission cut-offs for India’s JNV system to evaluate geographic disparities in educational access. It reveals strong regional clustering of admission thresholds and demonstrates that inequalities are driven more by applicant demographics than by school infrastructure, highlighting how local disparities are amplified through spatial spillovers. In conclusion the analyse recommends more schools in the region where the demand is more to make education more equitable. Also the summary statistics reject that this is due to more students in the poor states.

Methods: Spatial Econometrics (SAR models), Spatial Autocorrelation (Global Moran’s \(I\), LISA Cluster Maps), OLS with Two-Way Fixed Effects, and Rank Persistence Analysis.

Tech: R, Python, Stata, GIS/Shapefiles.

Links: Download Slides | Code

Presentation Slides

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Out of interest Project

1. IGIDR automatic confession posting system.

Summary People had complain about the biasedness in the confessions being posted in the normal confession page in the instagram. Complains mostly about the arbitary rejection; no consent from the one who has been mentioned in the confession. People being too insensitive and it was becoming more of bullying. This projects try to address these problems by automating everything; with minimal human intervention. The confessions are accepted from an simple HTML website; then every confession goes through city location check; device id allotment based on device fingerprint; sentiment check by Google Sentiment Analyser; consent check and if it passes everything then the it gets automatically posted on the instagram page. If flagged then it requires human intervention.

Methods: SQL Lite database for confession saving; Instagrapi unofficial api for interacting with Instagram; GoogleSentimentAnalyser for sentiment analysis; SimpleCaptcha for security captcha, to prevent automation; pillow for writing confession in a template.

Tech: Python, html, CSS

Links: Code