Open to opportunities

Alexson Joseph

@alexsonjoseph

Message

I use data, machine learning, and process engineering to improve semiconductor manufacturing yield and quality.

United States

Message

What I'm looking for

I'm looking to apply data analytics, machine learning, and process engineering to improve operational performance, product quality, and data-driven decision-making.

At Texas Instruments, I analyze semiconductor manufacturing data to identify root causes of yield, productivity, quality, and operational issues across automotive, medical, and defense computer-chip devices.

I've built Python-based defect wafer map classification and machine-downtime prediction models, helped reduce baseline manufacturing scrap by nearly 40%, and delivered $20,000 per year in savings by identifying recurring microscopic carbon-based defects.

I also create real-time KPI dashboards, lead manufacturing requirements sessions, maintain process documentation, and partner with engineering teams on SPC, FMEA, scrap reduction, and process-improvement initiatives.

Beyond manufacturing analytics, I've developed product-quality and production-cost prediction models on 400K+ records and engineered a Google Cloud Vertex AI RAG Q&A system for industrial engineering research documents.

Experience

Work history, roles, and key accomplishments

Current

Manufacturing Data Analyst (Yield Enhancement)

Current

Texas Instruments Inc.

Jun 2021 - Present (5 years 3 months)

Supports manufacturing and operations through data acquisition, analysis, and presentation to determine root causes of yield and productivity issues in semiconductor manufacturing. Developed Python-based models for defect detection and downtime prediction, achieving significant cost savings and scrap reduction.