End-to-End Supply Chain Analysis Project Using Python | Data Analyst Portfolio Project 2026
Build an END-TO-END Supply Chain Analysis Project using Python perfect for Data Analyst and Data Scientist.
In this complete project tutorial, you'll learn how to analyze a real-world supply chain dataset using Python, Pandas, Matplotlib, Seaborn, Scikit-Learn build a machine learning model and create a professional report. This is the EXACT type of project that gets noticed by recruiters.
⏰ TIMESTAMPS:
00:00 - Why Supply Chain Project?
00:30 - What is Supply Chain?
01:05 - Understanding Business Problem
03:46 - Setting Up Notebook
04:41 - Data Loading & First Look
05:34 - Exploratory Data Analysis
07:02 - Data Cleaning & Feature Engineering
13:15 - Solving Research Questions
22:31 - Bottleneck detection
25:22 - Root Cause Analysis
29:00 - Time Series Analysis
32:27 - Machine Learning Modeling
38:12 - Business Insights & Recommendations
About this project:
This supply chain analysis project demonstrates how data analysts solve real business problems. We use Python libraries like Pandas for data manipulation, Matplotlib and Seaborn for visualization, apply EDA techniques to derive actionable insights and build machine learning model using scikit-learn to identify high risk products from supply chain data. Whether you're a beginner data analyst or data scientist, college student preparing for placements, or a working professional looking to switch to data analytics, this project will strengthen your portfolio.
📂 Resources & Career Support
(Video resources) Dataset, Code, Report: https://topmate.io/ayushi_mishra/2052119
Free Dataset: https://topmate.io/ayushi_mishra/2052121
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Book a 1:1 Strategy Call (Resume & LinkedIn): https://topmate.io/ayushi_mishra/133733
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