o
oussamaelmoujt

oussama ELMOUJT

@oussamaelmoujt

Data Scientist and Machine Learning Engineer, AI, Statistics, Deep Learning

Marruecos
Inglés, Francés, Español, Árabe
Parte de la información aparece en idioma inglés.
Sobre mí
Data Science engineer (EMINES, UM6P) with a strong background in mathematics, statistics and probability. I build machine learning and deep learning solutions end to end, from data cleaning to deployed models, with industry and research experience. What I can do for you: • Machine learning & predictive models • Deep learning & computer vision • Time series forecasting • Statistical analysis & hypothesis testing • NLP, LLM & RAG chatbots • Optimization & operations research Message me before ordering so we can scope your project.... Lee más

Habilidades

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oussamaelmoujt
oussama ELMOUJT
desconectado • 

Revisa mis servicios

Procesamiento de lenguaje natural
I will ai, machine learning, nlp and deep learning and data analysis with python
Análisis de series de tiempo
I will do statistical analysis and time series forecasting in python

Porfolio

Experiencia laboral

Freelance

Computer Vision and AI Engineer

Freelance • Trabajador autónomo

Apr 2025 - Sep 2025 • 5 mos

Built and deployed computer vision systems for a mining operation. • Real-time anti-collision system for haul trucks: custom YOLO detection fused with Ouster LiDAR on NVIDIA Jetson (TensorRT, ROS, Docker), reaching mAP@50 0.974 at 55 FPS in production. • Automated rock fracture detection and RQD computation from drill-core photos, cutting manual logging time by over 60%. • Benchmarked alternative architectures and documented the evidence behind each design choice.

Universidade_Federal Fluminense

Data Science Research Intern

Universidade Federal Fluminense • Tiempo completo

Jun 2024 - Sep 2024 • 3 mos

Research internship at the LAMMOC lab (Rio de Janeiro, Brazil) within the national SALAD project. • Analyzed rainfall data to predict landslides and built an early warning system for several regions of Brazil. • Trained and compared machine learning and deep learning classification models. • Processed geospatial data with GeoPandas.