> Design and implement ETL pipelines for data drift analysis across different semiconductor test phases.

> Build and maintain scalable data orchestration workflows using Apache Airflow.

> Perform custom data analytics for Test and Product Engineering using Python, PySpark, and SQL.

> Strategize with cross-functional teams to identify potential process improvements and recommend data-driven solutions.

> Analyze the need for new applications or enhancements to existing applications to suit business needs.

> Develop and enhance internal tools, including ATE Hardware Management for ISO compliance, On-Chip Memory-Map processing, Assembly and Foundry Process Monitoring, and Database Monitoring.

> Design and implement stream processing for customer data analytics using Kafka.

> Develop and maintain data visualization and reporting scripts to be consumed during product engineering and new product development phases.

> Perform Test-Driven Product bring up, and scale Wafer Sort and Final Testing for mass production.

> Implement and maintain database architecture for test bring up activities.

> Perform Ad-Hoc data analysis for drawing business insights from production data.

> Own ATE SW integration for Quality and Reliability teams for EMC compliance, Stiction Testing, etc.

Sensor Data Analysis and Reporting

MEMS Characterization and Validation

ATE Software Integration

Applying deep learning for image enhancement and image reconstruction.

Dissecting Convolution Neural Network for parameter optimization.

Extending the models to low power battery operated devices by translating GPU trained models to embedded compatibility.