Cem Diker

Business Owner for various Engineering Tools: Introduction, Governance, Business Requirements for new digitalization Tools in Engineering

Project Management: Led and supported projects related to the deployment of new tools and process methodologies, ensuring on-time delivery and alignment with project goals and timelines

Process Improvement: Developed and optimized engineering processes to enhance efficiency and ensure compliance with aerospace standards, driving continuous improvement initiatives across cross-functional teams

Methods Development: Designed and implemented new engineering methods and procedures to streamline workflows, reduce production time, and improve quality control

Tooling Design & Integration: Managed the design, testing, and integration of specialized tools, software systems, and automated solutions for production and engineering departments to enhance operational capabilities

Data Analysis & Reporting: Conducted in-depth data analysis on production processes, identifying bottlenecks and areas for improvement. Generated reports and presented findings to senior management, supporting decision-making processes

Cross-Functional Collaboration: Worked closely with engineers, project managers, and other stakeholders to align processes and tools with project requirements and industry standards, ensuring successful project execution

Project - and Programm lead: Lead and manage group-wide IT projects, with a particular focus on planning systems and the application of Artificial Intelligence (AI)

Project management: Employ Scrum and Prince2 methodologies to ensure structured, efficient, and on-time project execution

Product development/project initiation: Oversee the management of external service providers, create detailed business cases, and define project briefs, ensuring alignment with organizational goals. Lead project execution through sprint planning, sprint reviews, and the agile development lifecycle

Stakeholder communication: Maintain transparent, consistent, and effective communication with stakeholders to ensure alignment, timely updates, and problem resolution

System Architecture Implementation: Design and implement system structures, focusing on seamless interfaces and the planning of robust data architectures to support operational needs

Process Analysis and Optimization: Lead process analysis, identify opportunities for process change and harmonization, and drive improvements within the context of ongoing and completed projects

Hands-on Data Analysis and Machine Learning: Perform hands-on data analysis and implement machine learning and AI models for accurate forecasting and predictive maintenance

Development and Automation: Develop and automate ETL pipelines, build interactive dashboards, and deliver actionable insights for production operations, optimizing performance and decision-making

Title: Prediction of bulk carrier arrival time using historical ship tracking data with the help of neural networks

Data analysis and creation of a predictive model for the company’s internal bulk carriers

Creation of an ETL process to automate the use of the AI model in the production environment in Databricks

Creation of reports through Microsoft Power BI and Tableau