Philippe M.
Data Scientist @Kaggle
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WORK HISTORY
Data Scientist @Kaggle
Achieved Expert rank in Notebooks (top tier globally) for publishing high-quality educational content on machine learning techniques and best practicesRanked top 30% in American Express Default Prediction competition among 4,875 international teams, developing ensemble models combining gradient boosting and feature engineeringBuilt end-to-end ML pipelines for diverse problem domains including computer vision, NLP, and tabular data using PyTorch, XGBoost, and transformer architecturesPublished technical notebooks on advanced topics including feature engineering, model optimization, and neural network architectures, sharing insights with the global ML communityDeveloped expertise in rapid prototyping, hyperparameter tuning, and ensemble methods through competitive machine
EDUCATION
Lycée International des Pontonniers
French Baccalaureate
Université Paris-Saclay
Master , Data Science
Université Paris-Saclay
Bachelor, Double degree Mathematics-Computer Science
ABOUT PHILIPPE M.
I am completing a Master’s in Data Science (2025) following a Bachelor’s in Mathematics & Computer Science, with a strong foundation in machine learning, deep learning, and software engineering. My experience includes building large-scale, production-ready solutions in domains such as e-commerce, aviation analytics, and financial technology.At Amazon I contributed to the development of customer-facing features on high-traffic platforms, working across global teams and using AWS to deliver scalable and reliable solutions. At SITA I applied statistical modeling and machine learning to aviation flight data (QAR) to monitor engine performance and detect anomalies across thousands of flights. I also have research experience in graph neural networks, convolutional models, and natural language processing.I enjoy combining advanced data science with practical engineering, from developing ML pipelines and APIs to creating interactive dashboards and visualizations. Fluent in French and English, with international project experience, I thrive in collaborative environments where data and AI create measurable business and operational impact.
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