Client : Fedegari Group

•Applied statistical analysis and machine learning techniques for water consumption management and leakage detection, achieving a 55% reduction in customer leakage and automating notifications via Telegram, email, and SMS.•Designed a user-friendly and advanced UI in Grafana for real-time monitoring of device performance and data anomalies, leveraging insightful analytics for proactive management.•Implemented real-time analysis of device connectivity issues, data transmission times, and anomaly detection using REST APIs for data fetching and InfluxDB for database creation, deploying solutions on a Linux-based virtual machine.

• Maintenance, control and error tracking of KT264 type paint robots• Creating and editing robot failure reports• Robot power line connection and PLC programming training

• Electronic card design training with DIP Trace• Component replacement of broken devices• Soldering and repairing of faulty printed electronic cards

• Detecting robot errors, changing parts if necessary with the maintenance team• Periodic maintenance chart follow-up• Installation of the transmission line of the newly created robot cell