🔭 Currently working on a personal project in data science research focused on predicting the band gap of perovskites using the Material Project API and machine learning algorithms.
🫱🏻🫲🏼 Actively seeking collaboration opportunities in data science projects related to material science.
🤝 Looking for assistance in identifying labs or professors to collaborate with in future machine learning projects within the field of material science.
🌱 Continuously expanding my knowledge and skills in data analysis, visualization, and machine learning techniques.
💬 Feel free to reach out to discuss anything related to data science, machine learning, material science, or data-driven approaches in material discovery.
⚡ Fun fact: I find joy in exploring and extracting meaningful insights from complex datasets, unraveling the potential of data through the lens of science.
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ALAMAL-CHATBOT
ALAMAL-CHATBOT PublicDeveloped in collaboration with students from ENSAM-RABAT, this web app incorporates a chatbot powered by a Large Language Model, providing support for cancer patients in the early stages of therap…
Python 1
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Band_gap_prediction
Band_gap_prediction PublicIn this project , I have used an experimental Band gap of semiconductors Data from Matminer Library. Linear Regression and Random Forest Regression has been used, with the help of Pymatgen Library …
Jupyter Notebook 1
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GenAI_Hackathon_AtlasVoice
GenAI_Hackathon_AtlasVoice PublicThe AtlasVoice project aims to assist psychotherapist doctors by introducing a bot assistant and transcription generation. This initiative is designed to minimize the time spent on recorded session…
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