Meghana Uppar
Data Analyst | Excel | Power BI | Data Cleaning & Reporting
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Customer churn occurs when customers stop using a company's service. For subscription-based businesses, losing customers directly affects revenue and long-term growth.
This project analyzes a customer churn dataset to understand customer behavior and identify factors that cause customers to leave the service.
Companies like Netflix and Spotify perform churn analysis to improve customer engagement and retention.
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A live interactive Sales Analytics Dashboard built in Power BI Desktop using the Superstore retail dataset.
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Data Analytics portfolio showcasing hands-on projects using Python, SQL, Power BI, and Machine Learning. I work with real-world datasets to perform data cleaning, EDA, SQL analysis, customer segmentation, KPI analysis, interactive dashboard development, and predictive forecasting. Projects include e-commerce sales analytics, Power BI business dashboards, and customer churn prediction, with a focus on converting data into actionable business insights.
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:Developed an end-to-end E-commerce Sales Analytics project to analyze sales performance, customer behavior, product trends, and business KPIs. The project involved cleaning and transforming raw sales data, performing exploratory data analysis, and creating interactive dashboards to present meaningful business insights.
Skills and deliverables
Python
Data Cleaning
SQL
Microsoft Excel
Microsoft Power BI Data Visualization
Github link: https://github.com/Meghana-b-u/ecommerce-sales-analytics
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