Superstore Dataset Analysis, Utilized SQL to clean, transform, and prepare Superstore dataset for analysis, ensuring data integrity and readiness for business insights., Developed interactive dashboards in Tableau to visualize and analyze product sales, profit margins, customer demographics, delivery timelines, and regional performance., Conducted deep-dive analysis to uncover trends in sales efficiency, profit distribution, and customer behavior, enabling targeted business recommendations., Performed sales and profit forecasting over a 5-year horizon using historical data trends, providing strategic insights for future planning., Highlighted areas of operational improvement, including delivery delays and underperforming regions, driving data-informed decision-making. Stock Market Analysis – Taylor Wimpey PLC, Performed a comprehensive analysis of stock performance using Python, leveraging libraries such as Pandas for data manipulation and Matplotlib for visualizations., Analyzed historical price trends, volatility, and market behavior to identify patterns and inform investment strategy decisions., Created visual reports showcasing key performance indicators and market movements to support competitive benchmarking and strategic planning., Presented findings with a focus on data-driven insights, enhancing understanding of financial trends for both technical and non-technical stakeholders. Consultancy Project with ACESO, Cleaned and structured survey data for analysis, enabling identification of trends and areas for improvement across benefit offerings., Delivered data-driven recommendations to optimize benefit structures and enhance overall employee engagement and retention., Presented findings to senior leadership using PowerPoint and impactful data visualizations, translating complex data into clear, actionable insights for decision-makers.