Summary
Rafi Hai is a Senior Data Scientist and Kaggle Competition Master with nine years of experience applying predictive modeling, deep learning, and data engineering across healthcare, consultancy, and consumer-metabolism domains. He holds dual MSc degrees with honors from KU Leuven in Bioscience Engineering and Artificial Intelligence, combining strong domain knowledge in human health with advanced ML expertise. At companies like Lumen and Fairgen he moved models from ideation to production, managed BigQuery pipelines and A/B experiments, and led practical solutions for device reliability and feature engineering. An active Kaggle competitor (top 0.5% worldwide, notebooks and discussion expert) he delivers reproducible notebooks and high-ranking solutions in CV, NLP and time series, demonstrating both research depth and contest-driven creativity. Outside work he balances data work with volunteering, basketball and travel, reflecting a pragmatic team player who enjoys experiment-driven problem solving.
9 years of coding experience
3 years of employment as a software developer
Master, Artificial Intelligence, Master, Artificial Intelligence at KU Leuven
Bachelor of Science in Bioscience engineering, Bachelor of Science in Bioscience engineering at Universiteit Antwerpen
Dutch, English, Hebrew, French, Spanish