Research & Projects
Research & Projects
π Research Paper
Intimate Partner Violence among Indian Ever-Married Women: Exploring the Insights from Tree-Based Machine Learning Approaches (2024)
β’ Applied tree-based machine learning models alongside traditional methods to predict and understand IPV prevalence.
β’ Determined the top 10 features based on relative feature importance scores.
π Masters Dissertation
The first level digital divide among Indian households - Dynamics of Caste (2023)
β’ Studied the impact of socioeconomic disparity on the first-level digital divide.
β’ Utilized Fairlie decomposition analysis to compare privileged and marginalized caste groups.
π Course Project
A qualitative study on the perception of the community about COVID-19 prevention and barriers (2021)
β’ Conducted qualitative research using Phenomenology design.
β’ Undertook Key Informant Interviews and Transact Walk for data collection.
Analyzing the impact of Janani Suraksha Yojana on Institutional delivery (2022)
β’ Compared the change in institutional delivery rates over time among women who received JSY benefits versus those who did not.
β’ Evaluated the impact of Janani Suraksha Yojana (JSY) on institutional delivery using the Exploratory Data Analysis and Difference-in-Differences (DID) technique.
π Self Project
Digital Trace Data Collection for Computational Social Science Research (2023)
β’ Developed Python scripts to extract digital trace data from various social media platforms, including Facebook, YouTube, LinkedIn, and Twitter.
β’ Extracted data from additional online sources, such as Google Trends, Play Store, Google Scholar, and Wikipedia.
Analyzing Government AI Readiness Index Using SQL & Tableau (2024)
β’ Developed SQL queries to identify top-performing countries and key drivers of AI readiness. Produced detailed reports on AI readiness by grouping countries into performance ranges and ranking them based on key metrics.
β’ Built an interactive dashboard that allowed users to explore AI readiness rankings across countries, helping stakeholders identify top performers and areas for improvement.