Motivated and detail-oriented recent graduate with a strong foundation in data analysis, statistics, and business intelligence. Proficient in tools such as Excel, SQL, Python, and data visualization platforms like Power BI. Completed academic projects involving data cleaning, analysis, and interpretation to drive actionable insights. Strong analytical thinking, problem-solving skills, and a keen interest in using data to inform decision-making. Eager to contribute to a dynamic team and grow as a data analyst in a professional environment.
Sales Data Dashboard, Analyzed sales data from a retail store using Excel and Power BI, Built dynamic dashboards in Power BI to monitor monthly trends and product performance Data Analysis, Used Python and Jupyter Notebooks to explore Sales dataset, Visualized case trends and recovery rates using Seaborn and Matplotlib Customer Segmentation Using K-Means, Applied clustering techniques on e-commerce data using Python and Scikit-learn, Helped identify target customer groups for personalized marketing.