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