Experienced Engineer with over a decade of expertise in manufacturing operations, process and equipment optimization, and data-driven solutions within the semiconductor and medical device industries. Specialized in yield analysis, predictive maintenance, and MES system integration to improve productivity and ensure reliability in 24/7 production environments. Proficient in Power BI, Python, SQL, and automation tools, with a proven track record of collaborating cross-functionally, resolving complex challenges, and driving operational improvements.
• Designed and maintained MES system dashboards to monitor equipment performance and yield loss analysis.
• Conducted end-to-end data integration and analysis for yield trends, WIP impact, and equipment-level performance across six layers (FI, VI, IR, OQC, AOI, PACKAGE).
• Collaborated with process SMEs to analyze defect breakdowns and upstream process impacts on yield loss.
• Developed automated pipelines using Python and SQL to ensure seamless data ingestion and reduce refresh failures.
• Created real-time alerts to trigger warnings for discrepancies between MES data and equipment logs, enhancing defect prevention.
• Designed infrastructures for data generation and collaborated with SMEs to assemble complex datasets for functional improvements.
• Built Power BI dashboards to visualize key operational metrics and drive decision-making.
• Implemented automation tools to optimize workflows and improve labor productivity.
• Developed Predictive Maintenance Systems to improve equipment uptime and reduce unplanned downtimes.
• Analyzed high-volume equipment data using advanced analytics techniques to provide actionable insights.
• Supported continuous improvement initiatives to optimize equipment performance and streamline processes.
• Assisted with global manufacturing line transfers, ensuring successful integration and operational continuity.
• Assisted in equipment maintenance, process optimization, and troubleshooting to improve reliability and efficiency.
• Assisted in equipment, process qualification, validations
• Assisted in global line transfer and new facilities set up.
Relevant Technical Skills
Data Systems & Analytics
SQL
Python
Power BI
Tableau
Manufacturing Analytics
Yield Loss Monitoring
WIP Analysis
Data Pipeline Implementation
Production Forecasting
Yield Forecasting
Predictive Maintenance
Equipment Defect Analysis
Incident Prevention
Workflow Automation
Process and Equipment Qualification
Leadership & Collaboration
Cross-Functional Collaboration
Risk Mitigation
Problem Solving
Analytical Thinking
Intermediate Python
Intermediate Python
Introduction to Power BI
Python Data Science Tool Box