I'm excited to share how I utilized data analysis and visualization techniques to create a comprehensive sales dashboard for a SuperStore by Microsoft PowerBI. This dashboard provides valuable insights into sales performance, customer behavior, and market trends.
🔍 Key features include:
-
Sales by Region, Segment, and Product Category: Identifying top-performing areas and opportunities for growth.
-
Sales and Profit Trends over Time: Analyzing seasonal patterns and identifying areas for improvement.
-
Customer Segmentation: Understanding customer preferences and tailoring marketing strategies accordingly.
-
Sales Forecasting: Provides a detailed sales forecast for the next 15 days. This is valuable for businesses as it allows them to plan their inventory and staffing levels accordingly.
This dashboard empowers decision-makers to make data-driven decisions and optimize sales strategies. I'm eager to contribute to the superstore's continued success by utilizing advanced analytics and forecasting techniques.
Resume Content -
- Identified top-performing regions, segments, and product categories; assessed sales and profit trends.
- Developed customer segmentation models, increasing engagement by 30% and repeat sales by 15%.
- Created 15-day sales forecasts using PowerBI, optimizing inventory levels and reducing overstock by 25%, while improving staffing allocation accuracy by 18%.
- Preprocessed and cleaned 10,000+ rows of raw data with Power Query and DAX, improving data quality and reducing processing time by 40%