Vibhuti B.

I am a data-driven professional with a strong background in analysis, visualization, research, and emerging applications of responsible AI. With a Master of Public Policy from the University of Chicago and hands-on experience with global organizations like J-PAL and IPA, I specialize in delivering impactful solutions across sectors—especially where data, policy, and AI meet. Over the years, I’ve: - Designed and implemented scalable data collection systems using tools like SurveyCTO. - Analyzed large datasets in R and Python, producing visualizations that inform strategic decision-making. - Collaborated with diverse stakeholders, including senior researchers, field teams, and international organizations, to drive meaningful outcomes. - Developed dashboards and reports tailored to client needs, ensuring clarity and usability. - Reviewed and structured LLM-generated content for accuracy, tone, and strategic use, contributing to projects focused on responsible AI evaluation. My expertise includes: - AI Content Structuring & Evaluation - Prompt Engineering & LLM Review - Statistical Analysis & Modeling - Data Visualization (R, Python, STATA) - Research Design & Implementation - Program Evaluation & Reporting I thrive in projects that require problem-solving, clear communication, and collaboration across teams. Recently, I’ve also worked on structuring data for AI systems, including evaluating model responses and tagging unstructured content. Whether it’s building dashboards, analyzing survey data, or contributing to responsible AI workflows, I bring precision, creativity, and a client-focused approach to every project. Let’s connect to discuss how I can contribute to your project’s success!