Manufacturing Defect Analysis
Pareto Analysis Root Cause Analysis
Project Overview
Analyzed production quality data to identify defect sources, recommending process improvements to reduce waste by 15%.
The Challenge
Identifying inefficiencies in existing workflows and handling large-scale datasets was the primary hurdle. The data was unstructured, requiring significant cleaning and normalization before analysis could begin.
The Solution
Leveraging Python for data processing and SQL for querying, we built a robust pipeline. Power BI was utilized to visualize the results, providing stakeholders with real-time insights.