👨🏻💻 Customer Behavior Data Analyst Portfolio Project
This repository contains an end-to-end Data Analytics portfolio project developed by me to simulate real-world, industry-standard analytics workflows. The project demonstrates how raw customer data can be transformed into meaningful business insights using Python, SQL, and Power BI.
The objective of this project is to showcase my hands-on skills in data cleaning, analysis, visualization, and reporting, similar to the responsibilities of a professional Data Analyst in a business environment.
🎯 Project Objective
To analyze customer shopping behavior and uncover insights related to:
Purchase patterns
Discount impact
Customer demographics
Ratings and loyalty indicators
The project focuses on converting raw retail data into actionable business intelligence through structured analysis and visualization.
🧠 Skills & Tools Used
Python (Pandas, NumPy, Matplotlib, Seaborn)
SQL (PostgreSQL / MySQL)
Power BI (Interactive Dashboards)
Jupyter Notebook
Data Cleaning & Feature Engineering
Exploratory Data Analysis (EDA)
Business Insight Generation & Reporting
📌 Project Workflow
1️⃣ Data Preparation & EDA (Python)
Imported and explored the dataset
Handled missing values and data inconsistencies
Created new features (age groups, segments, etc.)
2️⃣ Data Analysis (SQL)
Loaded cleaned data into a relational database
Wrote analytical SQL queries to answer business questions
Analyzed customer segments, spending behavior, and discount effects
3️⃣ Visualization & Insights (Power BI)
Built an interactive dashboard
Visualized trends, KPIs, and customer behavior patterns
Enabled data-driven decision-making
4️⃣ Reporting & Presentation
Summarized insights and business recommendations
Prepared a structured project report and presentation
🛠️ How to Run This Project git clone https://github.com/your-username/customer_behaviour_analysis.git cd customer_behaviour_analysis
Open Customer_Shopping_Behavior_Analysis.ipynb
Run the notebook to explore, clean, and process the data
Load the processed data into SQL (PostgreSQL / MySQL)
Execute queries from customer_behavior_sql_queries.sql
Open customer_behavior_dashboard.pbix in Power BI
📊 Key Outcomes
Identified high-value customer segments
Analyzed the impact of discounts on purchase behavior
Discovered trends across age groups and product categories
Built a business-ready analytics dashboard
📜 License
MIT License — feel free to fork, star ⭐, or use this project for learning and portfolio purposes.