Yosr Melliti

- Assessed data quality by translating dataset properties into 12 KPIs linked to prediction accuracy. - Built a Q-learning agent to optimize input data quality across those KPIs. - Applied Pareto optimization to reach the best trade-off for model-ready data. - Evaluated AI workflows to support more adaptive and data-aware model training.

- Learned and applied PC-DMIS (Hexagon) software to create dimensional measurement routines based on client specifications and ISO1101 standards. - Converted GD&T drawings into CAD models using Solid Edge to support offline measurement simulation and routine validation prior to online implementation.

- Validated an AI-driven digital twin using Python and OPC UA to support production planning and process optimization in an SME manufacturing environment. - Built forecasting and monitoring logic for data-driven decision support, contributing to a theoretical 30% reduction in electricity-related production costs.

- Implemented an ERP system to automate production and logistics workflows → reduced planning and handling errors by 25%. - Conducted a long-term ROI study on transitioning to SAP S/4HANA → convinced leadership to approve system migration.

- Applied 5S to improve process flow and strengthen operational readiness in a production environment. - Built KPI dashboards and supported quality-focused continuous improvement across teams.

- Developed an automated PCB test bench using LabVIEW → reduced product validation errors by 40% and increased production test reliability - Integrated a computer vision system for defect detection → lowered scrap rate and improved delivered board quality - Supported standardization of validation processes → projected 30% increase in long-term customer satisfaction

- Supported workflow standardization and maintained project documentation in line with ISO 9001 process requirements. - Applied the PDCA cycle to drive continuous improvement and led training with cross-functional teams, strengthening stakeholder alignment and quality engagement.

- Digitalized 50+ customer complaints and structured after-sales workflows → improved resolution speed and traceability - Created a KPI dashboard to monitor service quality and team performance → reduced manual reporting time by 40%

- Automated tooling traceability by developing a QR code-based tracking system → reduced tool search time by 60% and accelerated technician response in maintenance operations. - Supported ISO 9001 & EN 9100 audit readiness by implementing 5S practices → improved maintenance workspace organization and process visibility.

- Analyzed air-compressor maintenance data and compared preventive vs. corrective filter replacement strategies, identifying the most cost-efficient maintenance scenario. - Evaluated reliability–cost trade-offs for compressor filter maintenance, supporting maintenance planning decisions that balanced equipment performance and operating cost. - Contributed to a maintenance optimization project in a power-generation environment, strengthening data-driven decision-making for critical industrial assets.

Anabin: Institution with H+ Status Thesis: "Design and validation of an AI-driven digital twin to optimize energy flexibility in SMEs" KOSPIE-DAAD Scholarship (2024): Awarded for my final-year engineering internship in Germany Top of Class 2024: Graduated top of my class in Engineering at INSAT