I am a junior data scientist with great technical and economical skills, and I can manage a project from the problem to the data product. Moreover, I speak three languages, French, English, and Arabic.
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I'm an early career junior data scientist, programming applications and APIs based on data and artificial intelligence. My favorite languages are R and Python. Although, I have good knowledge on data management and data migration tools. My passion is Coding and Gym . But, when I am not Coding or going to Gym, I enjoy a Beer with my friends or I travel to meet new people.
My area of focus is to apply data science to business and finance. I create value for business by understanding problems and areas of improvement. and providing a return on investment with my solutions. I enjoy learning, working with nice people, and making better decisions with data .
About MeFacial Emotion Recognition system by fine-tuning a ResNet model using a single dataset. Through preprocessing and training, the model achieved high accuracy in detecting emotions like happiness, sadness, anger, and more from facial images. This highlights the effectiveness of deep learning in understanding human emotions, with potential applications in various fields such as healthcare and user experience.
Open The Notebook
You can have a virtual interview with me thanks to this chatbot I've developed, but it's a Beta version and there are still a lot of improvements to be made.
Launch ApplicationThis is BI Dashboard allows the user to have a general idea about the rental market in the Netherlands and also to show the potential of open source tools in creating BI dashboards.
Launch Application
Example for Sales Dashboard built with Tableau summarize the trend of sales regarding clients and products
Launch ApplicationThis application allows the user to decide which strategy to adopt for his investment, based on the optimization and simulation of these strategies with a given crypto money.
Launch Application
is a user-friendly web application designed to improve financial decision-making in the market. It offers portfolio optimization tools, news trend analysis, and financial ratings of companies. Users can optimize their investment portfolios using advanced algorithms based on their risk tolerance and goals. The real-time news trend analysis helps users stay updated on market developments and sentiment surrounding specific companies. The financial ratings feature provides valuable insights into the stability and performance of companies, aiding users in making informed investment decisions.
Launch ApplicationThe Poland Biodiversity WebTool, crafted with Shiny Semantic and CSS, seamlessly combines interactivity and aesthetics. Users can explore diverse ecosystems through responsive maps and detailed species databases. The application's dynamic charts and educational resources enhance understanding, while the user-friendly interface ensures accessibility. This powerful fusion of technology and design creates an engaging platform for environmental exploration and education.
Launch Application
It is a robot that is connected with a crypto currency platform and invistisment. It is equipped with an automated investment strategy that can be selected through various dashboard or manual simulations.
Go to the project's Github repositoryI like machine learning but even more when it is applied to business and finance, I have two interesting machine learning projects. The first one is an application that detects the martial status of a consumer from his purchases, and the second one is the analysis of the financial sentiment of the news with NLP techniques .
Go to the project's Github repository
I am at the beginning of my career as a data scientist but I have other experiences that have helped me to collaborate with my managers and colleagues
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