During the interview, I would discuss how I utilized tools like Python (Pandas, NumPy) for data cleaning and transformation, Tableau and Power BI for creating interactive dashboards, and SQL for querying datasets efficiently. To analyze and present KPIs, I developed visualizations such as bar charts, line graphs, and heatmaps to represent trends, performance metrics, and correlations effectively. For instance, I used a line graph to depict monthly revenue growth, a heatmap to identify regional sales performance, and a dashboard to consolidate KPIs like CTR, CPA, and customer retention rates. These visuals facilitated data-driven decision-making among stakeholders.