Description

Maintenance & Automation Intern

Contributed to equipment diagnostics and repair operations while developing automation solutions to improve maintenance efficiency.

Key Achievements

  • Diagnosed and repaired electronic equipment (fans, microwaves, TVs, washing machines)
  • Automated diagnostic tests using Python to accelerate repairs, reducing troubleshooting time by 40%
  • Built a logistic regression model to predict device failures from error logs, reducing unnecessary rework by 15%
  • Created error visualization tools to help the maintenance team identify patterns and common failure modes

Skills

  • Electronics Troubleshooting
  • Python
  • Predictive Maintenance
  • Machine Learning
  • Automation