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🚀 Edunet-Shell Internship

📌 Overview

During my internship at Edunet-Shell, I leveraged Power BI to conduct data analysis and develop an interactive dashboard for a dataset focused on Sustainable Supply Chain Performance. The analysis aimed to derive meaningful insights and enhance data visualization for better decision-making.

✨ Key Analyses Conducted

Week 1

🔹-> Slicer Visualization

Implemented slicers to explore categorical columns in the inventory table, focusing on:

📦 Product Types

🏷️ Customer Demographics

🔹-> Stacked Bar Charts

Used stacked bar charts to analyze relationships between categorical and continuous variables, including:

📊 Product Type vs. Sum of Revenue Generated

📦 Product Type vs. Sum of Availability

👥 Customer Demographics vs. Sum of Lead Times

Week 2

🔹-> Clustered Bar Chart

Analyzed transportation efficiency with a clustered bar chart:

🚚 Transportation Modes vs. Average Shipping Cost and Average Shipping Time

🔹-> Pie Chart

Examined customer ordering patterns:

📈 Customer Demographics vs. Sum of Order Quantities

🔹-> Donut Chart

Visualized supplier contributions:

🏭 Sum of Number of Products Sold by Supplier Name

🔹-> Funnel Chart

Tracked lead time efficiency across routes:

⏳ Average Lead Time by Routes

🔹-> Simple Cards

Displayed key metrics at a glance:

📌 Number of Products

📌 Total Number of Routes

Week 3

🔹-> Area Chart

Visualized production performance trends:

📍 Sum of Production Volume by Lead Time

🔹-> Map Visualization

Geographical insights into revenue distribution across India:

🗺️ Locations Where Revenue Was Generated with Bubble Size Indicating Revenue Amount

🔹-> Matrix Visual (SKU Analysis)

Comprehensive comparison of product categories:

🛍️ Total Number of Products by SKU Type (e.g., Cosmetics, Hair, and Skincare)

🔹-> Matrix Visual (Location-Route Analysis)

Explored route performance by location:

📌 Various Locations and Their Associated Routes with Average Lead Time

🔹-> Treemap Visualization

Shipping cost breakdown by carrier:

📦 Sum of Shipping Cost by Three Different Shipping Carriers

🔹-> Table Visualization

Detailed SKU-level performance overview:

📌 SKU, Associated Route, Sum of Shipping Cost, Sum of Price, Sum of Availability, and Location

📊 Dashboard Highlights

✅ Interactive Interface: Provides an intuitive interface to filter and analyze supply chain performance.

✅ Deeper Insights: Enables comprehensive insights into product availability, customer demographics, revenue trends, and transportation efficiency.

About

In this internship, I utilized Power BI to perform data analysis and create a visually appealing Dashboard for a dataset involving Sustainable Supply Chain Performance

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