Othmane Aouassar

- Spearheaded the development of scalable pipelines to process and analyze large-scale satellite imagery and geospatial data, optimizing real-time economic indicators for impactful decision-making. - Built and maintained production-ready workflows using Airflow, Python, and AWS services (S3, EC2, Lambda), ensuring efficient data handling and seamless model deployment. - Utilized deep learning and statistical modeling to extract actionable insights from time series data, supporting investment strategies with up-to-date economic data. - Collaborated closely with data engineering teams on AWS architecture, facilitating efficient data storage and retrieval using Xarray, Pandas, and GeoPandas. - Managed and mentored interns, guiding project development and ensuring quality control through rigorous testing and monitoring processes.

- Developed and implemented deep learning models to analyze multi-spectral satellite images and seismic data, contributing to resource exploration and environmental monitoring projects. - Conducted data preprocessing and feature extraction on large, complex datasets, ensuring high-quality data for subsequent analysis and modeling. - Applied advanced geospatial analysis techniques, enhancing project insights and supporting data-driven technical decisions in challenging industrial environments. - Gained practical experience in handling diverse data types, including multi-spectral satellite imagery, strengthening adaptability to complex data challenges.

Study of Statistical/Machine Learning techniques for controlling power electronic converters. ✓ Mathematical modeling of the aging process of electronic components. ✓ Aging simulation of power converter cards and collection of simulated data. Tools used: (Matlab - Simulink - PLECS) ✓ Designing experimental plans for data collection. ✓ Regression and development of predictive models for the aging of power converter cards. - Kriging with multiple kernel functions - Gaussian stochastic processes - Bayesian inference Tools used: - Scikit Learn - Pandas

Consultant for projects in applied mathematics, mathematical modelling and data processing.

Visualistion des capteurs de gravité des plantes : - Manipulation de carte ARDUINO. - Collection d'information et traitement d'image. - Préparation et découpage de plantes utilisées. - Manipulation de matériel d'experimentation poussé.