Freelancer profile translated to English.
Back to original languageAbout Ilyas
Hello everyone!
I am an engineering student, in work-study program, as a Data Scientist with two years of experience. I have a solid foundation in data science and Machine learning that I acquired during my engineering school training and also during my work-study program.
I can take care of the following tasks:
- Deep Learning: CNN, RNN, NLP with either PyTorch or Tensorflow
- Machine learning: classification, regression, supervised and unsupervised learning (Scikit-learn)
- Data visualization: with classic Python libraries (Matplolib, Seaborn, Plotly, Bokeh), with a geographic visualization library (Folium), with a graph visualization library (NetworkX)
- Data retrieval: scraping, API calls
- Scraping LinkedIn for all types of data, scraping leboncoin
- Data processing: reading numerous formats (csv, txt, xls, json, netCDF, ...), data cleaning and preparation.
- Creating applications with Streamlit
- A bit of knowledge in Mobile/Web dev
You can find my personal projects on Github:
----------Github.com/Wadjinny
My LinkedIn page:
----------Linkedin.com/in/ilyas-wadjinny/
My personal website:
----------w-ilyas.me
So do not hesitate to contact me so we can see together how I can help you!
French
Native or bilingual
English
Native or bilingual
Arabic
Fluent
Can work on-site
Cergy-Pontoise (up to 50km), Paris (up to 20km)
Experience
- EvidenceB kidscodeDevelopment of an AI engineDecember 2020 - Today (5 years and 6 months)Paris, FranceDevelopment of an AI model to process raw data from over 600k students and classify them into groups, based on their skills. Create a dashboard to display the results, as well as useful information. Creation of a pipeline to consolidate data from multiple learning platforms into a single format. Development of a tool to extract and transform data from our learning platform and calculate key performance indicators reflecting student performance. Creation of a tool to visualize all the rules that manage the student's journey on the learning platform.- Unsupervised learning & clustering: K-means, Scikit-Learn- Data visualization & filtering: Matplotlib, NetworkX, Pandas- DevOps: Docker, git, Jira, Confluence- Automated testing: Rest API, Selenium
- InjazWeb DeveloperMay 2017 - August 2017 (3 months)Development of a website from scratch with a registration and comment system, as part of the INJAZ young entrepreneur competition, to group participant ideas and select the most relevant ones using a voting system. (html, css, JavaScript, JQuery, PHP)
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Education
- Preparatory classes: Math & PhysicsCPGE Jean Bart2020Deux ans de cours intensifs en mathématiques théoriques et physique ainsi qu'en philosophie.
- Applied Mathematics Engineering Degree - Data ScienceCY TechCours enseignés: • C/C++, Python, R, SQL, MATLAB, Bash Scripting, UNIX/Linux, Git/GitHub. • Théorie de l’information, Architecture réseaun, Algorithmique, Bases de donnés, Développement WEB, Data Mining. • Théorie des graphes et optimisation, Statistique, Machine Learning. • Probabilité et simulations, Gestion de Risk, Chaînes de Markov, Gestion Financière. Membre de l'association ATILLA de programmation: • Projets en Data Science. • Projets en FinTech. • Organisation de compétitions de programmation. • Cours de modélisation et programmation.
Certifications
- Angular+NestJS Certification from SOLOLEARNSololearn2020