Modelled institutional channels for converting unbanked physical bullion into yield-bearing financial assets, evaluating microeconomic friction, compliance costs, and tax-shielded collateral mechanisms to incentivise formal banking integration.
Conducted rigorous econometric evaluation of India's mandatory gold hallmarking policy using a unique dataset of over 77,000 households.
Prepared comprehensive research notes on the financialisation of gold.
Managed and cleaned complex primary survey data of 2,882 Indian MSMEs to evaluate the structural impact of digitalization shocks on firm performance.
Constructed a localised digitalisation index using tetrachoric Principal Component Analysis (PCA) to address binary indicator constraints, and specified multivariate regression models to isolate performance determinants.
Co-authored a policy concept note on granting infrastructure status to the shipbuilding sector; recommendations were reflected in the Union Budget FY 2025-26.
Conducted empirical research and authored multiple discussion papers and book chapters on topics like investment facilitation, MSME digitalisation, infrastructure financing, international tourism, pooled contingent reserves, and regional integration.
Conducted a comparative analysis of the Indian National Waterways against the Dutch inland navigation model to identify structural freight logistics bottlenecks.
Conducted a comparative analysis study of the Indian rail network with that of China, focusing specifically on High-Speed Rail (HSR) networks and small-world properties.
Authored six commentary pieces on topics ranging from monetary policy, legal frameworks, and sustainability.
Authored two articles in the annual newsletter 'Aarthik Samvaad' on green financing.
Worked on the project titled 'Channel System in Monetary Policy' and analysed monetary policy transmission under inflation targeting frameworks by conducting cross-country comparative analysis of policy regimes.
Executed an empirical impact evaluation of the PMAY-G rural housing program leveraging the Mission Antyodaya dataset, managing observations across 200,000+ Gram Panchayats.
Refined performance-based ranking metrics by introducing structural controls for localized socio-economic covariates across 10+ dimensions, mitigating selection bias in administrative performance data.
Empirical Analysis of Factors Affecting Women Representation in Rural Local Governance: Modeled socio-economic determinants influencing women’s participation rates in local institutions using large-scale Mission Antyodaya survey microdata.