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End-to-End Supply Chain Analysis Project Using Python | Data Analyst Portfolio Project 2026

Tech

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 - All tech resources (Guides, eBooks, Projects): https://topmate.io/ayushi_mishra - 7+ Portfolio-Ready Projects: https://topmate.io/ayushi_mishra/770872?utm_source=public_profile&utm_campaign=ayushi_mishra - Job Prep & Interview Secrets: https://topmate.io/ayushi_mishra/page/62xps5j5IH - Book a 1:1 Strategy Call (Resume & LinkedIn): https://topmate.io/ayushi_mishra/133733 🔗 Stay Connected - LinkedIn: https://www.linkedin.com/in/ayushi-mishra-30813b174 - Instagram: https://www.instagram.com/techie.data/ 🔥 RECOMMENDED VIDEOS: 👉 Complete Data Cleaning (Python): https://youtu.be/ZX8vmcSTCrc 👉 Machine Learning Full Course: https://youtu.be/RAniuQEl10s 👉 Statistics Full Course: https://youtu.be/S7LvZZNq4ys 👉 How to upload any Project on Github using Git Commands: https://youtu.be/_x-ripC0_LI 👉Master EDA: https://youtu.be/YAWEU0oADCk #dataanalytics #python

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daniel_wali 2 weeks, 2 days ago

mam project report is not available on topmate

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brunamacedo633 2 weeks, 4 days ago

mam ap bina source diye video kaise upload kr di ap logo ke wajah se hum student ka time waste hota hao

franz-xaver_scheel
franz-xaver_scheel 3 weeks, 3 days ago

"Order Processing Time" is same as 'Days for shipping (real)' except where the difference between shipping date timestamp and order date timestamp is less than 24hrs, in that case the 'dt.days' function makes it as 0 while 'Days for shipping (real)' shows it as 1. Hence you don't need to make another column. Thus, we don't need the 'Delay' column and 'Is_Delayed' column is just 'Late_delivery_risk' (You're getting a difference in value counts only because of the calculation difference mentioned earlier). Basically which means all data related to order processing already exists; what does not exist is data related to actual delivery. According to my view, the dataset tells nothing about acutal delivery time and all, that's why the column is named 'Late_delivery_risk' because if the shipment is late the order is at risk for a late delivery. You being a content creator who is followed by so many (including me) should be more conscious I believe. Thank You for your contents !

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adán.cuellar 3 weeks, 4 days ago

Hello Ma’am, Could you please create an AI auto-dubbed Hindi tutorial series for Tableau? Currently, there are very limited complete Tableau series available in Hindi on YouTube. It would be extremely helpful for Hindi-speaking students and beginners who want to learn Data Analytics and visualization in an easier way. Thank you.

nicholas_marsh
nicholas_marsh 3 weeks, 6 days ago

where is the column name delay?

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carrie.chambers 4 weeks ago

*Is there a need to create a Power BI dashboard for this as well?*

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eloisa.cardenas 4 weeks ago

Ayushi, im forgetting everything im studying

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suzannelloyd476 4 weeks, 2 days ago

Hello jisko Python nahi malum hai, only Excel malum hai, woh bi tho analysis karsaktha hai Excel me. Why it is necessary to do with python ? I have done this in Excel

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hans-willi_kallert 1 month ago

Hi ayushi, good explanation, but little bit fast and why you are combining 4.5 code at once ... It would be easy for us if you make separate code for each

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victoire_chrétien 1 month ago

Good project and analysis, pls make more such content for us.

danieladams607
danieladams607 1 month ago

hi mam can you make using SQL please

jessedavenport853
jessedavenport853 1 month ago

This is quality content..but use mike please

taylorsmith924
taylorsmith924 1 month, 1 week ago

use mic plz ur voice is too low

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ann_lewis 1 month, 1 week ago

Not able to download dataset

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carmen.vigil 1 month, 1 week ago

:( its not free

ashleyjames985
ashleyjames985 1 month, 1 week ago

mam need A/B TESTING projects can u plz make that one

anel.valdez
anel.valdez 1 month, 1 week ago

Mam, .nothing is understand from this project..u learning superfast...

kristen_brooks
kristen_brooks 1 month, 2 weeks ago

Hello mam, Honestly saying it is very hard for me to understand the coding part in one go which is why the video takes half of my day. how much time is needed so that code part become little easy for me

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leon.mohaupt 1 month, 2 weeks ago

Could you please make a project on NLP- sentiment analysis

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brianmartin440 1 month, 2 weeks ago

Can you drop the GitHub repos of this project