ACADEMIC PROJECT: Sales Data Analysis
KAPLAN BUSINESS SCHOOL
SYDNEY
• Analyzed sales data to identify trends and forecast future sales using time series analysis and regression models.
• Led the data cleaning and visualization tasks, ensuring data integrity and accuracy by removing duplicates and handling missing values.
• Developed a dashboard using Tableau that provided actionable insights for the sales team, including sales trends, customer segmentation, and product performance.
• Conducted market basket analysis to understand customer purchasing patterns and recommend cross-selling opportunities.
• Utilized SQL to extract and manipulate data from the university’s database for in-depth analysis.
• Collaborated with team members to compile a comprehensive report summarizing findings and strategic recommendations.
• Presented findings to classmates and professors, receiving positive feedback for clarity and thoroughness.
• Implemented predictive analytics techniques to forecast future sales, achieving an accuracy rate of 85%.
• Provided suggestions for inventory management based on data-driven insights to optimize stock levels and reduce costs.
