Fares Sayah
Senior Data Scientist
Setif, Setif, Algeria
Summary
👤
Senior🎓
Top SchoolFares 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.
7 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
Stackoverflow
131reputation
114kreached
5answers
0questions
Github Skills (35)
lstm-neural-networks10
stock9
yahoo-finance9
lstm9
yahoo-finance-api9
python8
time-series8
machine-learning8
data-science7
predictive-modeling7
deep-learning7
random-forest7
jupyter-notebook6
mnist6
tensorflow6
Programming languages (1)
Github contributions (5)
fares-ds/Predicting_Loan_Defaulters_Using_Deep_Learning
Apr 2020 - Jan 2023
Contributions:11 commits, 8 pushes, 1 branch in 2 years 10 months
fares-ds/Predicting-the-closing-stock-price-of-APPLE-using-LSTM
Mar 2020 - Jan 2023
In this project we will be looking at data from the stock market, particularly some technology stocks. We will learn how to use pandas to get stock information, visualize different aspects of it, and finally we will look at a few ways of analyzing the risk of a stock, based on its previous performance history.
Contributions:8 commits, 4 PRs, 14 pushes in 2 years 11 months
pandasdata-sciencedeep-learninglstmlstm-neural-networks
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