Throughout my experience, I've primarily used Python, SQL, and Power BI for data analysis. For instance, during my internship at ETLHIVE, I conducted exploratory data analysis using Python libraries such as pandas, NumPy, and Matplotlib. This helped uncover valuable insights that informed business decisions. Additionally, I refined SQL queries for efficient data extraction from MySQL Workbench and developed Power BI dashboards to visualize the data. One specific project involved analyzing sales and promotions for AtliQ Mart, where I customized Power BI reports to increase sales volume by 20% and improve promotional ROI by 15%. This project demonstrated my ability to effectively use these tools to drive data-driven decisions.