Rajeev Ranjan Singh

Short Project Description – E-Commerce Customer Behavior Analysis E-Commerce Customer Behavior Analysis is a data analytics project focused on analyzing customer purchasing patterns and interactions on an e-commerce platform. The project uses data cleaning, exploratory data analysis, statistical analysis, and data visualization to identify customer preferences, purchase trends, high-value customers, and factors influencing sales and customer engagement. Rajeev's Role During Internship Collecting and cleaning e-commerce customer data Performing data preprocessing and validation Conducting exploratory data analysis (EDA) Analyzing customer purchasing behavior Identifying high-value and frequent customers Analyzing product and sales performance Studying customer preferences and purchase trends Creating charts, reports, and interactive dashboards Developing key performance indicators (KPIs) Identifying business insights from customer data Presenting findings through data visualizations Preparing analytical reports and documentation Managing datasets and project files using Git/GitHub Suggested Project Modules for the Internship Report Phase 1: Requirement Analysis & Problem Definition Phase 2: Data Collection & Dataset Understanding Phase 3: Data Cleaning & Preprocessing Phase 4: Exploratory Data Analysis Phase 5: Customer Behavior & Purchase Analysis Phase 6: Product & Sales Performance Analysis Phase 7: Customer Segmentation & KPI Analysis Phase 8: Dashboard & Data Visualization Phase 9: Business Insights & Report Generation Phase 10: Final Analysis, Documentation & Presentation