https://github.com/shellynagar27/transportation-and-logistics-challenge
Analyzing logistics data to optimize shipment efficiency, reduce delays, and enhance supply chain visibility using Power BI. Insights include top routes, delays, supplier trends, and peak shipments.
https://github.com/shellynagar27/transportation-and-logistics-challenge
cleaning-data critical-thinking data-analysis data-visualization exploratory-data-analysis feature-engineering powerbi preprocessing-data problem-solving python
Last synced: about 1 month ago
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Analyzing logistics data to optimize shipment efficiency, reduce delays, and enhance supply chain visibility using Power BI. Insights include top routes, delays, supplier trends, and peak shipments.
- Host: GitHub
- URL: https://github.com/shellynagar27/transportation-and-logistics-challenge
- Owner: shellynagar27
- Created: 2025-03-19T18:35:59.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2025-03-20T07:43:28.000Z (7 months ago)
- Last Synced: 2025-03-30T21:33:38.388Z (7 months ago)
- Topics: cleaning-data, critical-thinking, data-analysis, data-visualization, exploratory-data-analysis, feature-engineering, powerbi, preprocessing-data, problem-solving, python
- Language: Jupyter Notebook
- Homepage: https://app.powerbi.com/view?r=eyJrIjoiYzA0YmExZjktNmE0ZC00ZTY4LThhMGItNDgzYzllMjEyODA4IiwidCI6IjQ2NTRiNmYxLTBlNDctNDU3OS1hOGExLTAyZmU5ZDk0M2M3YiIsImMiOjl9
- Size: 3.38 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# 🚛 Transportation & Logistics Data Analysis – FP20 Analytics Challenge 24
For more detail on challenge - _[Click Here](https://zoomcharts.com/en/microsoft-power-bi-custom-visuals/challenges/fp20-analytics-february-2025?loginSuccess=1#)_
## 📌 Project Overview
This project is part of the **FP20 Analytics ZoomCharts Challenge 24**, where I analyzed **logistics data** to uncover key insights that improve **shipment efficiency, reduce delays, and optimize supply chain operations**.
## 🎯 Key Analysis Areas
- **Top Routes:** Identified the most common shipment routes and their average distances.
- **Delivery Times:** Analyzed routes with the longest delivery durations.
- **Peak Shipments:** Determined the busiest booking and delivery periods.
- **Delays Analysis:** Investigated key factors contributing to shipment delays.
- **Supplier Trends:** Evaluated supplier performance, identifying those with high shipment volumes and potential delays.
- **Customer Insights:** Analyzed customer shipment patterns and delays.
- **Material Movement:** Examined frequently shipped materials and their impact on delivery times.
## 🛠 Tools & Technologies
- **Power BI** – Interactive dashboards & data visualization
- **Python** – Data preprocessing & analysis
- **Excel** – Data validation & exploration
- **Figma** – Dashboard wireframing
- **Flaticon** - For icons
## 🔍 Data Processing & Cleaning
- Handled **missing values** using statistical techniques.
- Standardized **date and time formats** for accurate analysis.
- Removed **duplicates** and corrected inconsistencies in shipment records.
For more details - _[Click Here](https://github.com/shellynagar27/Transportation-and-logistics-Challenge/blob/main/Logistics%20Challenge%20EDA%20%26%20Data%20Cleaning.ipynb)_
## 📊 Live Dashboard & Report
🚀 **[View Interactive Dashboard](https://app.powerbi.com/view?r=eyJrIjoiYzA0YmExZjktNmE0ZC00ZTY4LThhMGItNDgzYzllMjEyODA4IiwidCI6IjQ2NTRiNmYxLTBlNDctNDU3OS1hOGExLTAyZmU5ZDk0M2M3YiIsImMiOjl9)**
📂 **[Final Submission PDF](https://github.com/shellynagar27/Transportation-and-logistics-Challenge/blob/main/Logistics%20challenge%20dashboard.pdf)**
🔗 **[LinkedIn Post](https://www.linkedin.com/feed/update/urn:li:groupPost:12751070-7308237261727277056/)**