Eindhoven, North Brabant, Netherlands
Part of Service & Field Ops within the Business Intelligence & Analytics department
Part of the Development & Engineering - EUV Wafer Defectivity team. • Developing forecasting models to produce prediction intervals of wafer defects for all EUV scanners deployed. • Building an automated analysis tool for SEM/EDX images to extract the spectral information needed for material classification related to wafer defects.
Data Science Intern as part of the KE@Work Honours Program from Maastricht University (16 hours per week in addition to the regular study program for the final 18 months of my bachelor’s study). Developing data science applications for the benefit of the Dutch cycling team Jumbo-Visma (ranked first on the UCI World Team Rankings and winner of the Tour de France 2022, considered as the most prestigious cycling race): • Developing, deploying and monitoring machine learning models for predicting the amount of calories required for a race. The models provide coaches with the calorie needs for each cyclist per race. • Developing a Talent Identification Dashboard for the cycling team using performance statistics, race results and rider profiles. The model helps coaches to identify the best talents at an early age.
Presenting the Department of Advanced Computing Sciences from Maastricht University to prospective students during information fairs, open days, student for a day experience, campus tours and other events.