Summary
Overview
Work History
Education
Skills
Certification
Timeline
Generic

Jiahong Cai

Dallas,TX

Summary

Process and Data Analysis Engineer focused on high-impact manufacturing optimization. Proven record of driving large-scale yield improvements, including over $1M in annual cost savings, a 50% reduction in CCD defects, and significant gains in Stringer performance. Combines statistical analysis, SQL/Python programming, and cross-functional leadership to build sustainable process control systems, and continuous improvement frameworks.

Overview

1
1
Certification
2
2
years of professional experience

Work History

Process and Data Analysis Engineer

Mesquite Modules Cor
Mesquite, Texas
01.2026 - Current
  • CCD Yield Improvement: Reduced CCD NG Rate from 0.4% to below 0.2%, significantly lowering defect-related material loss and improving production stability.
  • Process Control Standardization: Established CCD parameter control standards and NG alarm response mechanisms, reducing recurring defects and improving corrective action speed.
  • Root Cause Analysis: Performed production data trend analysis to identify drivers of angle deviation, uneven cutting, and contamination defects, enabling targeted corrective actions.
  • Cross-Functional Alignment: Partnered with Production, Equipment, and Quality teams to align parameter settings and improve machine performance consistency.
  • Data Monitoring & Trend Tracking: Built structured monitoring approach for shift-level and equipment-level CCD performance to support continuous improvement initiatives.

Process and Data Analysis Engineer

Canadian Solar Inc
Mesquite, TX
04.2024 - 12.2025
  • Cost Reduction Initiative: Reduced cell loss rate from 6.3% to 2.15%, generating approximately $1M in annual cost savings.
  • Defect Reduction: Improved Stringer NG Rate from 4% to 2% through defect pattern analysis and parameter optimization.
  • Data Infrastructure Development: Developed and maintained SQL-based production queries and KPI dashboards to monitor yield trends and shift-level performance.
  • Process Standardization: Designed standardized training materials and visual process documentation to improve operational consistency.
  • Cross-Department Collaboration: Delivered data-driven troubleshooting insights to support equipment optimization and process improvement efforts.
  • Performance Recognition: Promoted within less than one year based on measurable analytical and operational impact.

Education

Master of Science - Information System Management

Washington University in Saint Louis
Saint Louis, MO
12-2023

Bachelor of Science - BusinessAnalytics and Information Technology

Rutgers, The State University of New Jersey
New Brunswick, NJ
05-2022

Skills

  • Python
  • SQL
  • PowerBI
  • DBeaver
  • MATLAB
  • Excel
  • Word
  • PowerPoint
  • AWS
  • HTML
  • JavaScript

Certification

  • AWS Certified Cloud Practioner

Timeline

Process and Data Analysis Engineer

Mesquite Modules Cor
01.2026 - Current

Process and Data Analysis Engineer

Canadian Solar Inc
04.2024 - 12.2025

Master of Science - Information System Management

Washington University in Saint Louis

Bachelor of Science - BusinessAnalytics and Information Technology

Rutgers, The State University of New Jersey
Jiahong Cai