I'm
Oussama El Othmani
Machine Learning Developer, Data Science Engineer, Web Developer,
Apps Developer
I'm
About Me
As a passionate computer engineer, I have extensive experience in the fields of artificial intelligence, deep learning, data science, as well as web and mobile development. Leveraging my technical expertise, I have contributed to the design and implementation of innovative solutions, with a focus on efficiency and quality. My professional journey has equipped me with profound skills in tackling complex problems and collaborating with multidisciplinary teams. I am driven by the continuous pursuit of new learning opportunities and professional growth.
Machine Learning Developement
85%
Data Science
80%
Django Development
90%
Python
95%
NLP
90%
What I do
Currently, I'm doing IA/ML development with CNN, RNN, LLM, STLM ...
Currently, I'm doing data science analyse with Pandas, Numpy, streamlite ...
Currently, I'm doing Django development with any kind of theme with the newest technologies
Currently, I'm using Python for many projects because it is simple, easy to use, and flexible.
My Resume
My Resume
My Projects
馃殌 First aid is a fundamental skill, and Oussama's mission is to democratize it. This advanced chatbot goes beyond quick responses; it's your personal guide to medical treatment. Our methodology is data-driven, leveraging state-of-the-art natural language processing and tokenization techniques to equip Oussama with an extensive knowledge base of medical information.
The outcome of our work is an automated system for detecting anomalies in blood cells based on machine learning and computer vision techniques. This system has been specifically designed for use in hematology services and testing laboratories within the Military Health Branch.
In this project, we conducted various disk diffusion tests after creating our application. We used open source tools such as Flask. We learned how to prepare and annotate data, design a neural network model and a model based on the concept of segmentation, and modify it to improve the accuracy of the parameters of the different layers and adjust all the data to fit our model.
