30 end-to-end projects across 6 industries using SQL, Python & Excel
Build a complete sales analytics dashboard from raw transaction data
Segment customers using RFM analysis and clustering techniques
Build a market basket analysis system to recommend products
Analyze stock levels, forecast demand, and reduce carrying costs
Analyze pricing strategies and their impact on revenue and demand
Analyze patient admissions, wait times, and bed occupancy rates
Track and visualize disease spread patterns across regions
Analyze medical costs and identify key cost drivers
Predict which patients are likely to be readmitted within 30 days
Build a dashboard to monitor clinical trial progress and outcomes
Build a portfolio analytics dashboard with performance metrics
Build a credit scoring model to evaluate loan applications
Detect fraudulent transactions using anomaly detection techniques
Forecast quarterly revenue using time series analysis
Predict which customers are likely to close their accounts
Measure and visualize the ROI of marketing campaigns across channels
Analyze brand sentiment from social media posts and reviews
Design and analyze A/B tests to optimize conversion rates
Analyze email campaign performance and optimize engagement
Analyze website traffic patterns and optimize for search engines
Identify key factors driving employee turnover and predict at-risk employees
Build a dashboard tracking diversity and inclusion metrics
Analyze the hiring pipeline from application to onboarding
Build a performance analytics system with KPIs and ratings
Analyze salary data to ensure competitive and equitable compensation
Build end-to-end supply chain visibility with real-time KPIs
Predict future product demand using historical sales data
Analyze delivery routes and optimize for cost and efficiency
Optimize warehouse operations through data-driven analysis
Evaluate and rank vendors based on quality, delivery, and cost