** Manufacturing Performance Analysis Dashboard**
This project focuses on analyzing **factory performance metrics** to identify inefficiencies, optimize production, and reduce operational costs. The analysis helps in improving machine efficiency, reducing defects, and optimizing energy consumption.
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### **️ Tools & Technologies Used:**
**Python** (Pandas, Matplotlib, Seaborn) – Data processing & visualization
**SQL** – Querying and analyzing machine & production data
**Excel** – Data cleaning and preprocessing
**Tableau** – Interactive dashboards for insights visualization
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### ** Key Insights & Achievements:**
**Optimized Machine Efficiency** – Identified underperforming machines and suggested improvements
**Energy Consumption Analysis** – Reduced excess energy waste by correlating machine efficiency with consumption
**Defect & Scrap Rate Reduction** – Analyzed the impact of temperature variations on defect rates
**Cost Optimization** – Identified high-maintenance machines and recommended predictive maintenance strategies
**Interactive Tableau Dashboards** – Provided a real-time view of production performance and KPIs
**This dashboard helps businesses improve factory efficiency, reduce costs, and enhance product quality!**