AI & Data Science engineering Student.
Data Exploration, Data Preparation , Data Visualization , Predictive Modeling
Machine Learning Model Development , Deep Neural Network Implementation , Model Optimization
Particle Swarm Optimization (PSO) , Logistics and Resource Allocation Problems , Workflow or Production Optimization
"Problem-solving, analytical mindset, adaptability, teamwork, continuous learning.
AI & Data Science student with hands-on experience in machine learning, computer vision, and web development, skilled in using tools like Python, TensorFlow, and Streamlit to build innovative solutions.
two month
SMART AUTOMATION TECHNOLOGIES
An automated pipeline to quickly create high-performance object detection models.
one month
Saiket System internship
Data Science internship: developed churn prediction model using Logistic Regression and Random Forest..
Certified in Lean Six Sigma Yellow Belt (ECLEE), Machine Learning (Supervised & Unsupervised), Data Job Simulation, and Object Localization, and Generative AI (IBM).
2025
ECLEE In-Person
Certified in process improvement and quality optimization.
2025
Online Course-Coursera
LR and binary classification with Python, NumPy, and Scikit-learn.
2025
Online Course-Coursera
K-means,dimensionality reduction,anomaly detection,recommendation,Deep RL
2025
Online Course-Coursera-IBM
A specialization that allows data scientists to acquire the basics of generative AI and to master prompt engineering.
2025
Online Course-Coursera
Emoji classification and localization using CNN — Dual-output model with TensorFlow/Keras.
2025
Forage_BCGX
Solving a business problem during a data science job simulation.
TensorFlow · PyTorch · Keras · Scikit-learn · OpenCV · Streamlit · Google Colab . VS Code . Vibe coding . Hugging Face · Roboflow · LabelImg · Lovable · v0.dev ·
Name : Chegdati Chouaib
Gender : Male
Age : 22 Years Old
City : Casablanca
Nationality : Morocco
Full Time : Internship seeker
phone : (+212) 679 722 582
Email : chegdatichouaib@gmail.com
languages : French,English,Arabic
01
using YOLOv8 and SVM — Streamlit Interface with Documentation on GitHub and Read the Docs.
02
This project offers a complete and flexible object detection pipeline, capable of handling any dataset format and automating annotation with YOLO or Grounding DINO. It drastically reduces the time and effort needed to prepare and train a high-performance computer vision model, while providing easy testing and model download.
03
using EDA, feature engineering, and ML models with Python tools.
04
using CNN — Dual-output Model with TensorFlow/Keras
05
Movie recommendation using PSO — Preference-based system with MovieLens100k dataset.
to create impactful projects that make a difference.
Phone
(+212) 679 722 582
chegdatichouaib@gmail.com
Adress
Casablanca