At Banaras Hindu University, I researched how taxation and tariff-policy shifts affect economic competitiveness. I synthesized quantitative indicators and policy-analysis frameworks into an evidence-based dissertation linking trade policy with competitiveness outcomes.
In my inflation and repo-rate analysis project, I used Python and Excel to structure data, quantify correlations, and develop policy-relevant conclusions on monetary transmission.
I also created a research roadmap on renewable-energy grid integration and electricity pricing in India, synthesizing regulatory, market, and pricing frameworks. For a Power BI project, I built interactive dashboards that brought fragmented sales and cross-market insurance data into structured views for trend, revenue, and KPI benchmarking.
My experience also includes researching audience-engagement and campaign-performance data as a Marketing Intern at YOUNITY, and analyzing digital-channel engagement for NODWIN Gaming's BGMS Season 3 campaign. I'm UGC-NET qualified in Economics and have training in research methodology, data analysis, and AI tools.
