👋 Introduction

Hello everyone! I’mGrace Egbe, a passionateData Analyst with expertise inPython, SQL, Tableau, and Machine Learning.

I recently completed anE-commerce Customer Analytics Project that explorescustomer behaviour, sales trends, and retention strategies usingPython & Tableau. I’d love to getfeedback, suggestions, and collaboration opportunities from the community! 🚀

🔗GitHub Repository:E-commerce Customer Analytics

📊 Project Overview

Objective:

Understandingcustomer behaviour andkey factors affecting sales and retention in an e-commerce business.

Tech Stack:

✔️Python – Data Cleaning & Analysis
✔️SQL – Querying & Data Exploration
✔️Tableau – Interactive Dashboards & Insights
✔️Pandas & Matplotlib – Data Visualization

🔥Key Insights from the Project

📊Customer Retention Analysis
✔️ Returning customers contributeover 60% of total revenue.
✔️ Personalized marketing strategiesincrease repeat purchases.

📉Sales Trends & Seasonal Analysis
✔️ Peak sales occur duringholiday seasons.
✔️ Discounts and promotionsdrive higher engagement.

🛒Customer Segmentation
✔️ High-value customers preferspecific product categories.
✔️ Analysing spending behaviour helps intargeted promotions.

🔗View the Project on GitHub:E-commerce Customer Analytics

📢 Looking for Feedback & Suggestions!

I’d love to hear your thoughts on:
✅ How can I improve my data analysis & visualization approach?
✅ Are there additional insights that would make the project more valuable?
✅ Any recommendations for further analysis or feature improvements?

Let’s connect and learn from each other! 😊

📡 Connect With Me

📊Portfolio:https://egbe34.github.io/portfolio/
📊Kaggle:https://www.kaggle.com/graceegbe12
💼LinkedIn: (https://www.linkedin.com/in/grace-egbe-77820b278/)
📧Email: (graceegbe3@gmail.com)

I appreciate any feedback and suggestions! Thanks in advance! 🚀🔥