Machine Learning Engineer
Continuing to drive innovation in the BlueAI team at KLM, Amsterdam.
Focusing on advanced machine learning solutions to optimize KLM Operations.
Expanding on previous data science role to lead machine learning initiatives.
Implementing cutting-edge ML techniques to enhance operational efficiency.
Data Scientist
Developed ML models for KLM Operations using supervised learning techniques, primarily LightGBM.
Created predictive models for meal requirements, passenger numbers, and workforce availability.
Designed and implemented performance monitoring solutions.
Advocated for and implemented improved coding practices within the team of 7 Data Scientists.
Developed a general library for streamlining ML use cases across the team.
Data Scientist
Co-led company-wide innovation and change processes as a key Data Scientist.
Bridged technical and business aspects through presentations and data analysis.
Designed a modified genetic algorithm for combinatorial optimization.
Implemented the company's first production ML algorithm (NLP) in 30+ stores.
Created heuristic models for dynamic pricing, deployed in 100+ stores across 2 countries.
Developed a heuristic model for optimizing decisions on expiring products, implemented in 40+ stores.
Data Scientist
Designed and implemented an automated solution for test data analysis.
Utilized Python (Keras/TensorFlow), Flask, and Docker for development.
Implemented both batch and online learning techniques.
Worked in an Agile environment (Scrum/Kanban).
Project outcomes led to additional funded proposals.