Intern - Manufacturing Dry Etch
Core
Intern role focused on developing a predictive analysis model to estimate the useful lifetime of consumable parts in Dry Etch equipment to improve cost efficiency and productivity.
Role type
Engineering Intern (Predictive Modelling & Data Analytics)
Builds
Predictive analysis models for equipment consumable lifetime and dashboards for manufacturing insights
Domain
Semiconductor Manufacturing (Dry Etch) + Data Analytics
Deliverable
production ML models | dashboards & analysis
Required skills
Data analytics, predictive modelling, dashboard development, problem-solving, technical documentation
Preferred skills
Python, Power BI, SQL, AI/ML workflows, lean manufacturing concepts
Technologies
Microsoft Excel, PowerPoint, Python, Power BI, SQL
Responsibilities
Analyze equipment, process, maintenance, and cost data to identify performance trends; Develop and evaluate a predictive model for consumable part lifetime; Build visualizations/dashboards to present findings; Document analytical results and generate recommendations for cost and productivity improvements
Seniority
Intern
