Conducted a comparative analysis of financial performance drivers of top real estate companies in India and Singapore using econometric techniques, identifying key factors influencing profitability. The research was published and strengthened my academic foundation, helping me secure admission to Curtin University Singapore.

My research evaluated the impact of the Pradhan Mantri Jan Dhan Yojana (PMJDY) on the Indian economy using paired sample analysis with secondary data. The findings highlighted key economic outcomes of the scheme, and the paper was successfully published, further strengthening my confidence in conducting policy-based economic research.

In my research, I conducted a comparative analysis of Non-Performing Assets (NPAs) and their impact on the profitability of India’s leading banks, State Bank of India (SBI) and HDFC Bank. However, SBI demonstrated better NPA management through higher provisions and effective loan structuring. My research was exciting and got published in an academic journal

My research analyzed shooting trends across five NBA teams using official statistical data. I compared key metrics like field goal percentage, three-point accuracy, assists, and turnovers to understand scoring efficiency and team strategies, strengthening my analytical thinking and ability to derive insights from complex datasets.

Explored disparities in breast cancer mortality in India using GLOBOCAN 2022 data, analyzing age-specific trends and mortality-to-incidence ratios. The study also examined the potential of 3D bioprinting in improving tumor modeling and enabling more personalized and effective treatment approaches in oncology.

Analyzed subscription fatigue among Indian consumers using OTT and food delivery apps through survey data and Chi-square analysis, identifying key behavioral patterns, pricing sensitivities, and demand for unified platforms, with recommendations like transparent pricing and simplified subscription models.

Explored how biotechnology and AI accelerate vaccine development by comparing COVID-19 and HIV approaches, analyzing mRNA, viral vector, and protein subunit vaccines, and highlighting AI’s role in antigen prediction, mutation tracking, and optimizing vaccine design for improved healthcare outcomes.

Analyzed e-waste management across South Asia and Western Europe, comparing policies, recycling efficiency, and sustainability approaches. The study highlighted how circular economy models can reduce environmental impact and improve resource utilization, offering insights for adopting global best practices.

Analyzed the relationship between financial literacy, savings behavior, and digital finance adoption among Indian youth. The study identified key factors influencing financial decision-making and highlighted how improved literacy and digital tools can enhance savings patterns and financial inclusion in emerging economies.

Developed a hybrid IoT and machine learning framework to optimize direct-to-consumer agri-dairy supply chains in India, focusing on real-time monitoring, demand prediction, and waste reduction. The study highlighted how technology-driven models can improve efficiency, transparency, and sustainability in agricultural distribution systems.