Anuranjani Thota holds an MS in Data Science from Kent State University where she curated a rigorous foundation in mathematics, statistics, and computer science and its application to real-world decision-making through modeling and defensible storytelling. She specializes in transforming complex datasets into actionable insights—leveraging Python, SQL, and R for data engineering and modeling, and Tableau/Power BI to craft visual narratives. Her work spans predictive modeling, causal inference, and experiment design, with a principled focus on transparency, reproducibility, and measurable impact. Anu supports research at all levels by developing analytical frameworks and the visualizations that help to illuminate risks and opportunities in support of policy making and strategic forecasting.