Krishna Chauhan

July 2026 - Aug 2026

Short Project Description – Customer Segmentation Analysis Customer Segmentation Analysis is a data analytics project designed to analyze customer behavior and group customers into meaningful segments based on factors such as purchasing behavior, spending patterns, demographics, and engagement. The project uses data analysis and visualization techniques to identify customer groups, understand their preferences, and support businesses in developing targeted marketing and customer retention strategies. Krishna 's Role During Internship Collecting and cleaning customer datasets Handling missing, duplicate, and inconsistent data Performing exploratory data analysis (EDA) Analyzing customer purchasing and spending patterns Identifying important customer characteristics Applying customer segmentation techniques Creating meaningful customer segments Developing visualizations using Power BI/Tableau/Python Preparing analytical reports and dashboards Identifying customer trends and business insights Interpreting analytical results for decision-making Documenting findings and recommendations Suggested Project Modules for the Internship Report Phase 1: Requirement Analysis & Problem Definition Phase 2: Dataset Collection & Data Understanding Phase 3: Data Cleaning & Preprocessing Phase 4: Exploratory Data Analysis Phase 5: Customer Behavior & Spending Analysis Phase 6: Customer Segmentation Phase 7: Data Visualization & Dashboard Development Phase 8: Segment-wise Analysis & Insights Phase 9: Business Recommendations & Reporting Phase 10: Final Analysis & Documentation