SQL Logistics Operations Analysis | MySQL Business Insights Project
Advanced SQL-based logistics analysis project developed using MySQL Workbench to identify delivery delays, return patterns, operational inefficiencies, and customer behavior insights.
The project involved solving real-world business problems using:
• Subqueries
• CASE WHEN logic
• CTEs (Common Table Expressions)
• Window Functions
• RANK(), DENSE_RANK()
• LAG() & LEAD()
Built an n8n CRM automation system that captures leads, creates and updates CRM records, assigns tasks, sends team notifications, automates follow-ups and generates reports.
I designed and developed a secure, production-ready e-commerce backend utilizing a clean layered architecture and RESTful principles. Built to handle complex business logic, this project handles everything from user lifecycle management and strict authentication to secure transaction processing and high-speed data retrieval.
Advanced Security & RBAC: Implemented Spring Security with custom JWT filters, BCrypt password hashing, and granular Role-Based Access Control enforcing 3 distinct tiers (ADMIN, USER, SELLER).
Transaction Atomicity: Built robust transaction management to guarantee atomicity and data consistency across order placement and cancellation workflows.
Database & Caching Optimization: Optimized MySQL schemas via complex JPA relationships (@OneToMany, @ManyToOne) and Hibernate custom queries. Integrated a Redis caching layer that slashed product retrieval latency by 88.87% (from 3.37 s down to 375 ms).
Containerization: Fully containerized the application stack using Docker Compose for seamless, reproducible local and cloud deployments.
Restaurant Automation System. Automates WhatsApp orders, menu & pricing lookup, estimate generation, PDF invoices, and order processing using n8n, Google Sheets, Gemini AI and WhatsApp Cloud API.