Fengjing Fu

• Own sales performance analysis and forecasting, monitoring pipeline health, deal progression, and target attainment across regional and overseas sales teams. • Develop monthly, quarterly, and annual sales performance reports, translating complex data into actionable insights for management decision-making. • Identify performance risks and forecast gaps, providing early-warning alerts and scenario analysis to support proactive sales interventions. • Support sales review cycles with structured data analysis, KPI tracking, and insight-driven discussions rather than status-only reporting. • Optimize CRM data quality and reporting logic, improving pipeline transparency, forecast reliability, and sales efficiency. • Collaborate cross-functionally with sales, solution, and internal stakeholders to align data, processes, and execution in a multinational environment.

• Focused on Governance, Risk, and Compliance (GRC) training, risk analysis, and audit processes, driving the enhancement of control systems and questionnaire workflows by identifying inefficiencies and proposing innovative improvements. • Responsible for managing and maintaining multiple iterations of corporate governance frameworks while supporting the seamless transition to new digital platforms. • Contributed to the organizationʼs IT governance by managing content and ensuring the Global IT Governance homepage remained up to date with relevant insights. Through contributions to the monthly newsletter, actively communicated key updates and market trends to global stakeholders. • Collaborating with cross-functional teams to track project requirements and changes, while maintaining a keen focus on stakeholder communication and project timelines.

• Extracted, aggregated, and manipulated large-scale datasets (up to 600,000 rows) using SQL and ETL pipelines, providing real-time insights via intuitive dashboards. • Developed a new KPI integrating nine performance metrics for EU-wide delivery stations, enabling comprehensive performance evaluation. • Utilized correlation analysis with Python to compare input/output metrics and inform data-driven improvements. • Built and maintained dynamic dashboards in Power BI using AWS Redshift through Power Query and data modeling. • Collaborated cross-functionally, ensuring clear communication of project status, risks, and deliverables.

• Compiled and analyzed production data in Excel to maintain consistency, improve efficiency, and guide scheduling. • Established production processes, supply chains, and capacity planning, enabling product-intelligent systems. • Maintained safe, stable operations by managing and coordinating operational instructions.

Core courses: Statistics and Mathematics, Algorithms and Data Structures, Machine Learning, Heuristic Optimization, Digital Operations and Supply Chain Management, Optimization of Logistics Systems. Master thesis “A Column Generation Algorithm for solving the VRPTW problems” (Final Grade: 1.3) : • Used column generation algorithm on two different optimization solvers, solve the famous NP-hard problem and explore the API endpoints of GCG, finally compare the computational results under the Chair of Operations Research of RWTH Aachen University. Project Experience: Three-Dimensional Container Loading Problem: • Collaborated with a team to address a complex container loading problem. • Developed a Mixed Integer Programming (MIP) model and evaluated various algorithms. • Selected the Best Fit algorithm, achieved an 80% fill rate, and visualized the solution using Python.

Double Degree