Intern – Data Analysis & Pattern Recognition AI / Data Science

Key Responsibilities

• Perform exploratory data analysis on large datasets to uncover patterns, trends, correlations, and anomalies relevant to semiconductor process and manufacturing data.
• Build and evaluate machine learning models (classification, regression, clustering, time-series) for predictive analytics and pattern discovery.
• Conduct statistical analysis including hypothesis testing, regression analysis, and A/B testing evaluation.
• Apply anomaly detection techniques to identify deviations and emerging trends in process, inline, and electrical datasets.
• Create visualizations and dashboards to communicate insights to technical and non-technical audiences.
• Develop data pipelines for data extraction, cleaning, and feature engineering.
• Collaborate with cross-functional teams including process engineering, manufacturing, and data science partners to scope projects and deliver actionable recommendations.
• Communicate results with strong explainability, including feature importance and trend narratives.
• Work independently with a high level of self-motivation, time management, and prioritization skills.
• Deliver a complete intern project package, including code/notebooks, documentation, and presentation-ready summaries.