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oussamaelmoujt

oussama ELMOUJT

@oussamaelmoujt

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

Marokko
Engels, Frans, Spaans, Arabisch
Sommige informatie wordt in het Engels weergegeven.
Over mij
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.... Lees meer

Skills

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oussamaelmoujt
oussama ELMOUJT
offline • 

Bekijk mijn diensten

Natural language processing (NLP)
I will ai, machine learning, nlp and deep learning and data analysis with python
Tijdreeksanalyse
I will do statistical analysis and time series forecasting in python

Portfolio

Werkervaring

Freelance

Computer Vision and AI Engineer

Freelance • ZZP

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 • Fulltime

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.