Data Analytics Lead

Transforming Data into Strategic Insights

PhD in Business Administration | Machine Learning & Optimization Expert

Leading data analytics initiatives at Rabobank's Value Chain Finance Portfolio since August 2024. Previously Data Scientist in Credit Risk Department. Specialized in mathematical modeling, statistical learning, and optimization algorithms with a focus on finance and value chains.

View My CV Get In Touch

About Me

Hi there! I'm a data scientist with an insatiable curiosity and a passion for uncovering the hidden stories within data. My journey has been exciting, combining a Ph.D. in Business with explorations into engineering and AI. This unique blend has given me the ability to see the big picture while still appreciating the beauty in the details.

I'm always eager to push the boundaries of what's possible, using innovative techniques to harness the power of data, compute, and digitization. Whether I'm working independently or collaborating with a diverse team, I bring enthusiasm and a positive attitude. I'm a lifelong learner who thrives in fast-paced, challenging environments, driven by a desire to make a real impact.

6 Publications

1 Patent

31 Citations

Areas of Expertise

Combining cutting-edge research with practical business applications

Data Analytics & Credit Risk

Data Analytics Lead at Value Chain Finance Portfolio (Aug 2024 - Present). Previously drove initiatives in Credit Risk including Python implementation of credit risk modeling library and ML for Internal Rating Based models.

Credit Risk Modeling Value Chain Finance RWEA Procedures

Machine Learning & AI

Ph.D. research in ML-driven decision-making systems. Experience with PyTorch, Scikit-learn, and applying reinforcement learning to inventory management and semiconductor manufacturing optimization.

PyTorch Statistical Learning Reinforcement Learning

Mathematical Modeling & Optimization

Expertise in algorithms, optimization, and mathematical modeling from Ph.D. research. Patent holder for "Learn Offline, Search Online" hybrid scheduling approach. Focus on production systems and inter-event time analysis.

Mathematical Modeling Algorithms & Optimization Production Systems

Research & Academic Leadership

6 publications, 31 citations, h-index 3. Patent holder (No. 389829). Supervised Master's and Bachelor's students at TU Eindhoven. Full scholarship recipient for both M.Sc. and Ph.D.

Student Supervision Academic Excellence Future Logistics Project

Featured Insights

Exploring the intersection of mathematics, machine learning, and practical applications

Exploring the Irrationality of π

A captivating dive into visualizing π's irrationality through animated geometric representations, showcasing mathematical beauty through Python visualizations.

Mathematical Visualization Read More

Evolution Strategies for Inventory Management

Demonstrating how Evolution Strategies can be an effective alternative to reinforcement learning for solving lost sales inventory problems.

Operations Research Read More

Eigenvalue Distribution Visualization

Exploring the visual world of matrices and eigenvalues, recreating fascinating visualizations of eigenvalue distributions evolving over parameter spaces.

Linear Algebra Read More

PhD Thesis Overview

Modelling and Control of Production Systems based on Observed Inter-event Times: An analytical and empirical investigation into data-driven manufacturing control.

Doctoral Research Read More

View All Articles

Let's Connect

Interested in collaboration, discussing data analytics opportunities, or exploring innovative solutions? I'd love to hear from you.

Send Message