• Actively contributed to various projects, combining expertise in data analysis, software development, and hardware testing while concurrently completing my master’s studies.• Participated in the ETL processes of several experiments, particularly in designing a calibration algorithm. This algorithm increased the SNR (signal-to-noise ratio) by 20 p.p. in noisy-data detectors, significantly improving data quality and quantity. Outliers detection is of 95% without compromising processing speed.• Deployed an SQL database system to manage active and future data. Centralized the data and integrated it with real-time monitoring software, enabling continuous tracking and improving data accessibility.• Streamlined data visualization and reporting by developing Bash and Python automation scripts that leveraged the Grafana API. Creating dashboards is now a frictionless, one-click away process, saving hours previously spent on manual setup and configuration.• Wrote detailed documentation to support the team in maintaining and scaling the database, as well as all code-related developments. This effort ensured comprehensive coverage for future experiments and reduced training time for new users.

• Diagnosed a Data Acquisition (DAQ) board for muon tomography, resolving all identified performance issues, and gaining hands-on experience in hardware debugging.• Performed root cause analysis of system malfunctions, utilizing oscilloscopes, and ad-hoc data analysis to resolve electronic failures.• Effectively presented results and progress weekly to 10 cross-functional team members, ensuring consistent alignment with project milestones and objectives.