99P Labs

Game data analysis project focused on extracting user behavior insights and building data processing workflows

Completed foundational training on the 8 core semiconductor manufacturing processes and applied statistical analysis concepts in practice.

Led a project focused on anomaly detection in CoW (Chip on Wafer) test trend data for HBM3E 12H products.

Developed an ensemble anomaly detection logic using Z-score and rolling mean algorithms with Python and Pandas to identify early abnormal signals.

Emphasized reducing false positives (FP) by evaluating model performance with PR-AUC and iteratively improving detection accuracy.

Utilized Spotfire for trend visualization, gaining hands-on experience in data exploration and dashboard creation for quality monitoring.

Collaborated with engineers and quality teams to interpret test trends and provide insights into potential defect sources.

• Researched OpenXLA compiler for ML optimization, improving model performance through system-level tuning.

• Compared integration methods for TensorFlow, PyTorch, and JAX to streamline AI workflow.

• Conducted Transformer model analysis using “Attention Is All You Need” and delivered technical presentation.

• Managed school financial records, including budget tracking and expense reporting, ensuring accuracy and compliance with regulations.

• Addressed and resolved public inquiries and complaints, providing efficient and empathetic service to parents, staff, and community members.

• Utilized Microsoft Excel to organize financial data and streamline reporting processes, improving administrative efficiency.

• Supported administrative operations, including scheduling, documentation, and interdepartmental coordination, contributing to a well-structured office environment.