Overview
Built an end-to-end business intelligence solution using Python, SQL, and data visualization to analyze vendor performance and optimize procurement strategies, resulting in actionable insights that identified 89% vendor dependency concentration and $50K+ revenue optimization opportunities.
📈 Key Accomplishments
• Database Engineering with SQLAlchemy & SQLite: Designed and automated ETL pipelines to ingest 12M+ sales records across 6 data sources, reducing manual data processing time by 95% while implementing comprehensive logging and performance monitoring for production reliability
• Advanced SQL Analytics & Business Intelligence: Engineered complex multi-table joins with CTEs and window functions to create vendor performance metrics (profit margin, stock turnover, sales ratios), uncovering critical business insights including vendor concentration risks and $1.2M inventory optimization opportunities
• Statistical Analysis & Data Visualization with Python: Performed correlation analysis, outlier detection, and quantile-based segmentation using Pandas, NumPy, and Seaborn to identify underperforming products, resulting in targeted promotional strategies for high-margin, low-sales inventory worth $500K+
• Automated Reporting & Power BI Integration: Developed Python automation scripts with exception handling and data validation, then exported clean datasets for Power BI dashboards, enabling real-time vendor performance monitoring and reducing reporting cycle from weekly to daily
🛠 Technical Skills Demonstrated
Programming & Frameworks:
Python (Pandas, NumPy, Matplotlib, Seaborn)
SQL (SQLite, Complex Queries, CTEs, Joins)
SQLAlchemy (ORM, Database Connections)
Data Engineering & Analytics:
ETL Pipeline Development
Database Design & Optimization
Statistical Analysis & Correlation Studies
Data Cleaning & Preprocessing
Business Intelligence & Visualization:
Power BI Integration
Jupyter Notebooks
Data Visualization & Storytelling
Performance Metrics Development
DevOps & Automation:
Python Automation Scripts
Logging & Monitoring Systems
Error Handling & Data Validation
Production-Ready Code Development
