Summary
Fares Sayah is a Senior Data Scientist with six years of experience applying machine learning to computational physics and material discovery, currently advancing ML-driven insights at Fathom.io. A Ph.D. candidate in condensed matter physics, he combines deep mathematical and statistical rigor with practical Python engineering to build predictive models for material properties. He has a strong track record in industry roles and a notable Kaggle presence (Notebooks Master, rank 49), reflecting both research depth and applied data- science craftsmanship. Comfortable moving models from experiment to production, he seeks full-time roles in data analysis or data science where physics-aware ML can unlock real-world impact.
6 years of coding experience
4 years of employment as a software developer
Master's degree, Condensed Matter and Materials Physics, A, Master's degree, Condensed Matter and Materials Physics, A at Ferhat Abbas University
French, English, Arabic