Daoyuan ZHU

Familiarization with mobile core networks (protocols, databases, telecom architecture) Analysis of network issues using collected data (logs and technical measurements) Processing large-scale datasets with PySpark and Pandas, performing statistical analyses and visualizations using Matplotlib Network anomaly detection using deep learning models (comparison of multiple architectures) Model deployment via a RESTful API built with FastAPI Business impact evaluation: improved service quality for 10% of customers, reduced incidents, and identified economic benefits

Programming Siemens S7-200 Smart PLCs to automate industrial processes Designing HMI touchscreens for real-time visual control Developing an IoT platform with Flask to manage an MQTT broker and integrate MySQL and InfluxDB databases Implementing a remote monitoring system with automated alerts Results: automation reduced manual interventions by 5 people/day, increased efficiency by 20%, and achieved estimated annual savings of €40,000

Internship in a vineyard