Madhu Sudhan Kambam

SQL, Notion, Draw.io, Python

• Built a MySQL data pipeline using stored procedures, improving batch query performance by 25%
• Documented data flow and processes using Notion, improving stakeholder collaboration by 20%
• Automated batch data ingestion with Python, cutting manual processing time by 30%

Python, SQL

• Developed ML model detecting fraud with 92% precision across 50,000+ transactions
• Evaluated 50,000+ historical transactions using SQL queries to identify fraud patterns
• Delivered insights in a mentor presentation—recommended for inclusion in project showcase

Excel, Power BI

• Optimized supply chain efficiency by analyzing product performance for a dataset of 5,000+ items
• Reduced delivery delays by 15% via visual performance monitoring
• Automated data cleaning processes in Excel, saving 10 hours of manual work weekly

Python, SQL

• Predicted client subscription to term deposits using logistic regression, achieving 88% accuracy
• Extracted and cleaned 20,000+ records using SQL for predictive analysis
• Visualized campaign performance metrics in Power BI for stakeholder presentations

Power BI

• Designed dashboards to visualize business performance metrics for Tata Group's dataset
• Improved data accessibility for stakeholders by 25% through interactive reports

Python, SQL

• Investigated real-world dataset to uncover business trends, delivering a 15-page report
• Retrieved and cleansed supply chain datasets using SQL, subsequently employing Python to build predictive models; findings enabled a 15% improvement in product delivery efficiency