o
oussamaelmoujt

oussama ELMOUJT

@oussamaelmoujt

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

Marocco
Inglese, Francese, Spagnolo, Arabo
Alcune informazioni sono riportate in lingua inglese.
Chi sono
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.... Continua a leggere

Competenze

o
oussamaelmoujt
oussama ELMOUJT
offline • 

Consulta i miei servizi

Elaborazione del linguaggio naturale
I will ai, machine learning, nlp and deep learning and data analysis with python
Analisi dati storici
I will do statistical analysis and time series forecasting in python

Portfolio

Esperienza lavorativa

Freelance

Computer Vision and AI Engineer

Freelance • Lavoratore autonomo

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 • Full time

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.