Data Analyst | Excel | SQL | Python | Power BI
Download ResumePassionate Data Analyst skilled in Excel, SQL, Python, Power BI I build data-driven solutions including churn prediction, customer behavior analysis, Library Management System, Compared the accuracies of ML models
Python
SQL
Power BI
Machine Learning
HTML
CSS
JavaScript
Processed and analyzed 10,000+ customer records to develop a predictive churn model with 80–85% accuracy. Performed feature engineering, encoding, and scaling to optimize model performance, and identified key churn drivers through statistical analysis. Translated model insights into actionable business recommendations while ensuring structured data preparation and validation prior to deployment.
View ProjectFor my Customer Behavior Analysis project, I analyzed 3,900+ transactional records to uncover revenue trends and customer purchasing patterns. Built optimized SQL queries to compute key KPIs such as Revenue, AOV, and repeat rate, and performed exploratory data analysis to identify product performance insights. Developed interactive Power BI dashboard to visualize business metrics and ensured high data accuracy through thorough cleansing and validation.
View ProjectDesigned and implemented a relational database system to manage books, members, and transactions. Created normalized tables with primary and foreign key constraints and automated the book issue/return workflow to reduce manual tracking errors. Integrated Python with MySQL to perform CRUD operations and generate reports.
View ProjectBuilt predictive churn models using Logistic Regression and Random Forest on 10,000 customer records. Performed data preprocessing, feature engineering, and model evaluation, achieving ~85% accuracy while identifying key drivers influencing customer churn.
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