Projects

Academic and professional projects.

A selection of university courses, research and work experience where I applied simulation, data analysis and optimization to real-world problems.

1CV50

Digital Twin of a High-Tech Manufacturing System

For this project, I built a digital twin of a high-tech manufacturing system in Python. The model included machines, operators, buffers and autonomous robots that had to work together to process production orders. Different dispatching rules and system configurations were tested to see how they affected throughput, waiting times and overall performance. The project helped me gain experience with simulation, data analysis and process optimization.

PythonSimulationDigital TwinsData AnalysisProcess Optimization

4CBLW00

Optimizing a Parcel Sorting System

Together with my team, I developed a digital twin of Vanderlande's PosiSorter system. The goal was to improve the sorting performance without changing the physical layout of the system. We designed and tested several sorting algorithms, including FIFO, load balancing and optimization-based approaches. Using simulation and real-world data, we compared the performance of each algorithm and identified ways to reduce recirculations and improve efficiency.

PythonLogisticsOptimizationSimulationOperations Research

1BK20

Improving Throughput Times with Simulation

In this project, I modeled a production process with two machines and multiple rework loops. The goal was to investigate whether giving priority to reworked orders would reduce the average throughput time. We built and validated two simulation models and compared their performance using statistical analysis. This project gave me hands-on experience with discrete-event simulation and queueing systems.

SimulationPythonQueueing TheoryStatistical Analysis

1CK20

Inventory Optimization Tool

For this case study, I worked on an inventory optimization problem for a large product portfolio. We analyzed current replenishment policies and developed a tool that determines optimal reorder levels and order quantities while maintaining service levels. The model considered inventory costs, storage costs and operational costs, and could be applied to thousands of products.

Inventory ManagementOptimizationSupply Chain AnalyticsMathematical Modeling

1CV70

Workforce and Production Planning

This project focused on production planning and workforce management. We analyzed different planning strategies and compared their impact on inventory levels, workforce requirements and total costs. Using quantitative models, we evaluated how different production plans could support demand while keeping costs under control.

Supply Chain ManagementWorkforce PlanningProduction PlanningExcel Modeling

1BV70

Healthcare Data Analysis

For this project, I analyzed a healthcare dataset to identify factors related to pneumonia diagnoses. The work included data cleaning, exploratory data analysis and statistical modeling. The goal was to turn raw data into useful insights that could support better decision-making in healthcare.

PythonData AnalyticsStatisticsData Visualization

Explainable AI

Interpretable Machine Learning Model

In this project, I developed a decision tree model that focused not only on prediction accuracy but also on explainability. The objective was to create a model that users could easily understand and trust. This project introduced me to explainable AI and showed how machine learning can be used in decision support systems.

Machine LearningExplainable AIPythonData Science

MarkstratX

Strategic Product and Marketing Decisions

During the Markstrat simulation, I worked in a team managing a virtual technology company. We made decisions about product development, pricing, advertising, market research and new product launches. By analyzing market data and competitor behaviour, we developed strategies to improve market share and profitability.

Business StrategyMarketing AnalyticsProduct ManagementDecision Making

Research

Digital Twins in Modern Manufacturing

For this research project, I investigated how digital twins can be used in manufacturing environments. By reviewing scientific literature, I explored the benefits, challenges and practical applications of digital twins. The project gave me a broader understanding of Industry 4.0 technologies and their role in improving operational performance.

ResearchIndustry 4.0Manufacturing SystemsTechnical Writing

Research

Decision-Making Speed and Employee Engagement

This research project focused on the relationship between leadership behaviour and employee engagement. More specifically, we studied how the speed of managerial decision-making can influence motivation and workplace outcomes. The project combined academic research with practical business implications.

ResearchOrganizational BehaviourData AnalysisAcademic Writing

Van Loon Group

Workforce Planning and Process Improvement

As a working student at Van Loon Group, I supported projects related to workforce planning, process improvement and operational analysis. I worked with data to analyze current processes, identify improvement opportunities and support decision-making. This experience gave me valuable insight into how data-driven improvements can be applied in a real production environment.

Data AnalysisWorkforce PlanningProcess ImprovementOperations Management

Eindhoven Career Platform

Acquisition & Treasurer

As part of the Eindhoven Career Platform, I was responsible for both acquisition and financial tasks. I worked with companies to create internship, graduation project and job opportunities for TU/e students. In addition, I helped manage finances, invoices and partnerships. This role allowed me to develop my communication and stakeholder management skills.

Business DevelopmentStakeholder ManagementCommunicationFinance