Collected and analyzed real-time sensor data (pressure, flow, temperature) from PLCs and Arduino-based systems to optimize an automated CIP cleaning system. Applied operational data analysis to validate process improvements, contributing to reduced cleaning cycle times and increased efficiency. Coordinated cross-functional testing and commissioning, generating documentation and performance reports used for project decisions.

Analyzed recurring ticket patterns in Active Directory and Microsoft 365 to identify root causes, reducing average resolution time and improving service reliability. Built structured documentation and tracking records that serve as an operational data foundation for trend analysis and team decision-making. Applied data organization and cleaning techniques across support workflows to improve traceability and information availability. Collaborated with technical teams using operational metrics (ticket volume, incident types, SLA performance) to support continuous improvement.

Managed and classified high-volume incident tickets, applying SLA-based prioritization and generating structured data for downstream analysis. Monitored incident lifecycle and reported tracking metrics (response times, categorization, resolution status) that informed operational decisions. Maintained full traceability of incidents in a high-volume environment, strengthening data management and reporting skills.