About El Malki
- Data definition and quality assessment
- Data collection, cleaning, feature engineering, augmentation, exploration, and visualization
- Statistical modeling and inference
- Development and evaluation of predictive models (classification, forecasting, anomaly detection)
- Explainability of AI models
- Deployment and monitoring of AI models
- Computer Vision (detection, segmentation, deep learning)
- LLMs, NLP applications
- Data science and machine learning: Python, R, Pytorch, TensorFlow, Scikit-learn, Statsmodels
- Data processing: Pandas, Numpy, Scipy, Spark
- Data visualization: Matplotlib, Seaborn, Plotly
- Web tools: Dash/Streamlit
- Deployment: REST API (Flask/FastAPI), Docker
- Database: MySQL, PostgreSQL, MongoDB, Neo4j
- Scraping: Python, Requests, Selenium, BeautifulSoup
- Acceleration: GPU, numba, C++ wrappers, Cython
- Others: Git, Jupyter notebooks
French
Native or bilingual
English
Fluent
Experience
- IRITPostdoctoral scientistRESEARCHJanuary 2021 - May 2021 (5 months)Toulouse, FranceDevised a novel clustering method tailored for high-dimensional data scenarios
- IRITPostdoctoral Scientist (Smart Buildings)RESEARCHFebruary 2023 - April 2024 (1 year and 2 months)Toulouse, FranceWorked on an ecological project for smart buildings. I developed AI algorithms tailored for anomaly detection, aimed at enhancing energy efficiency in sensor-equipped buildings.
- IRITPostdoctoral Scientist (Maritime Surveillance and Border Security)RESEARCHMay 2021 - January 2023 (1 year and 8 months)Toulouse, FranceWorked in the H2020 EFFECTOR european project in partnership with Naval Group and Thales Group. I developed datalake-oriented machine learning solutions for the anomaly detection task, based on maritime sensor data.
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Education
- Docteur en informatique, Apprentissage automatiqueUniversité Toulouse - Jean Jaurès2020Docteur en informatique, Apprentissage automatique
- Licence 2, MathématiquesUniversité d'Avignon et des Pays de Vaucluse2015Licence 2, Mathématiques