Nilanjan Mukherjee

I am a detail-oriented MA Economics student with strong foundations in political science, public policy, and economic analysis. I combine disciplined analytical thinking with practical experience in structured research, literature review, and policy evaluation.

I have assisted professors in literature reviews, organized academic sources thematically, identified analytical gaps, and synthesized large volumes of content into concise, structured summaries. I produce clear written reports under deadlines and apply economic reasoning to real-world policy problems.

I am a CFA Program Level I candidate (exam completed; results awaited) developing expertise in financial analysis, quantitative methods, and systematic problem-solving. I am familiar with generative AI tools for research and structured outputs and am self-learning Advanced Excel, Python, and Power BI.

I seek roles where I can contribute to AI data annotation, research analysis, economic research, policy evaluation, transcription, translation review, or analytical support, bringing strong attention to detail, quality assurance, and reliable independent work.