Elisheba Amulya Katta

At Deloitte, I researched an average of 30 client companies per day and built corporate-intelligence datasets for engagements involving Fortune 500 companies. I maintained over 97% industry classification accuracy and received a Spot Award within my first six months.

In my research on India’s labour market, I built data-preparation pipelines for approximately 1.18 million PLFS records and analyzed differences in outcomes by education, gender and social group. I applied Mincer wage equations, quantile regressions and wage decomposition methods, with a Heckman correction for sample selection.

For Measuring Educational Spending Equity Across Indian States (GRUEI), I constructed a three-component equity index from state-level expenditure data covering 28 states and 8 Union Territories. I also conducted comparisons of gender and rural–urban spending and developed state rankings and visualizations to inform funding recommendations.

My research on policy interoperability and digital trade integrated OECD INDIGO and WTO trade data and used OLS models to examine digital policy openness and trade growth. I’m seeking opportunities in economic research and data analytics.