Скачать или смотреть DataSpark: Illuminating Insights forGlobal Electronics | Data Analysis | Python | SQL | POWER BI

Hello Everyone

🚀 DataSpark: Illuminating Insights for Global Electronics 🚀

I am thrilled to share my latest capstone project, "DataSpark: Illuminating Insights for Global Electronics," which I have completed as part of my data analytics journey. This project has been an incredible learning experience, allowing me to deepen my skills in data cleaning, preprocessing, EDA, SQL, and Power BI/Tableau, all within the fascinating domain of retail analytics in the electronics industry.

🔍 Project Overview:

Global Electronics, a leading consumer electronics retailer, provided me with data about their customers, products, sales, stores, and currency exchange rates. I aimed to conduct a comprehensive exploratory data analysis (EDA) to uncover valuable insights that could enhance customer satisfaction, optimize operations, and drive overall business growth.

📊 Key Insights & Analyses:

Customer Analysis:
*Demographic Distribution
*Purchase Patterns
*Customer Segmentation

Sales Analysis:
*Overall Sales Performance
*Sales by Product and Store
*Sales by Currency

Product Analysis:
*Product Popularity
*Profitability Analysis
*Category Analysis

Store Analysis:
*Store Performance
*Geographical Analysis

🛠 Skills Utilized:

Data Cleaning and Preprocessing

Exploratory Data Analysis (EDA)

Data Management using PostgreSQL

Visualization with Power BI

🌟 Results:

The project culminated in a comprehensive EDA report featuring clean and integrated datasets, in-depth insights, visually compelling visualizations, and actionable recommendations. These insights aim to enhance marketing strategies, optimize inventory management, improve sales forecasting, guide product development, and inform store expansion and operational decisions for Global Electronics.

Please find the link for my GitHub Repository: https://github.com/Samuelson777/DataS...


#dataanalysis
#globalelectronics
#powerbi
#python
#exploratorydataanalysis
#postgresql