Mats Pierik

Early-career Data Scientist with a strong technical foundation from an MSc in Data Science and hands-on experience developing end-to-end predictive machine learning solutions. I thrive on using ML, time-series forecasting, and advanced analytics to solve complex operational challenges and deliver actionable business insights. To bridge the gap between analytics and production, I am actively expanding my skills in cloud infrastructure, Data Engineering, and MLOps, enabling me to implement scalable models effectively.

Data Science Internship (9 months) at Hoppenbrouwers (2025 – 2026)

• Developed an end-to-end predictive ML solution from scratch to forecast the financial performance of 50 autonomous engineering teams.
• Automated data processing and inference by integrating pipelines into Azure Data Factory, OneLake, and SQL.
• Drove business adoption using SHAP explainability, an interactive Power BI dashboard, and end-user training.

Data Consultant (6 months) at Vespo (2025 – 2025)

• Developed and optimized cloud data pipelines and finance dashboards, streamlining reporting processes and providing management with reliable, automated insights.

Previous Operational & Logistics Roles at Various (2020 – 2025)

• Various roles demonstrating demonstrating strong adaptability, practical problem-solving, and a reliable work ethic in fast-paced physical environments.

MSc in Data Science in Business & Entrepreneurship – Jheronimus Academy of Data Science (JADS) — Tilburg University & TU Eindhoven (2024 – 2026)

BSc in Data Science – TU Eindhoven & Tilburg University (2021 – 2024)