Achraf Chahboune
Master's Student
Hi, I am Achraf CHAHBOUNE. Master's student in Big Data and IoT at ENSAM Casablanca, currently seeking a final-year project. Equipped with strong academic knowledge, a team spirit, and driven by the desire to apply innovative data and AI solutions to solve real-world challenges.
Education
2023 - Present
National School of Arts and Crafts of Casablanca - ENSAMC
Master in Big Data and IoT
2020 - 2023
Faculty of Science and Technology of Mohammedia - FSTM
Bachelor in Computer Science, Networks, and Multimedia
Experience
Jul 2024 - Sep 2024
3D Smart Factory - Final Year Project
Developed a 3D segmentation model for brain tumors using neural networks. Utilized MRI data to segment tumor regions and visualized results in 3D to aid diagnosis and patient monitoring.
Apr 2023 - Jul 2023
Internship - Société Bottu
Built a stock management system using React.js and PHP with barcode tracking and user-friendly interfaces.
Jan 2023 - Mar 2023
Automation & Scripting Project
Developed automation and scraping tools for app testing and research efficiency.
Certifications
Dec 24, 2023
IBM - Machine Learning with Python (Coursera)
Learned core machine learning techniques.
Jan 6, 2024
Stanford - Supervised Learning (Coursera)
Studied regression and classification models.
My Skills
Programming Languages
Python
JavaScript
Java
PHP
SQL
C
Web Development
React
Django
Node.js
Next.js
Bootstrap
CSS
tailwand
SpringBoot
Data Science
Pandas
NumPy
TensorFlow
PyTorch
PCA
Data Base
MySQL
PostgreSQL
MongoDB
Tools & Technologies
Docker
AWS
Git
Selenium
Appium
Projects
2024
Mobile Translation Application
Developed a real-time translation app using ML Kit with text recognition and language detection.
2024
Automation Scripting for Applications and Websites
Created scripts for automated testing and web scraping to enhance QA and research efficiency.
2024
PharmaFind – Pharmacy Locator Application
Built a React and Spring Boot app to locate pharmacies and check medication availability.
2024
Arabic Text Multi-Classification Model
Developed and deployed an Arabic text classifier using BERT, XLM-RoBERTa, and Streamlit.