Hi, I'm Bouthayna Jouak

A
AI and Data Science Engineering Student and Web Developer with a self-driven, quick-start attitude, a passion for programming, and a curious mind that thrives on solving complex, real-world challenges.

About

Industrial Engineering student specializing in Artificial Intelligence and Data Science, passionate about system optimization and the development of innovative digital solutions. With experience in web development and data science, I aspire to create intelligent applications to enhance industrial efficiency. Ambitious and curious, I am constantly seeking to learn and take on new technological challenges.

  • Languages: Python, Java, JavaScript, C++, HTML/CSS/JS
  • Databases: MySQL
  • Libraries: NumPy, Pandas, OpenCV, matplotlib , seaborn , torch , transformers , sentence-transformers , langchain , llama-index
  • Frameworks: Django, Node.js, Keras, TensorFlow, PyTorch, Bootstrap
  • Tools & Technologies: Git, Docker, AWS, GCP

Experience

  • Intern – Web Application Development for Production Optimization
  • Developed a web application for   optimizing mechanical production monitoring.
  • Contributed to the   improvement of digital tools   to enhance operational efficiency.
  • Worked on multiple digital projects using   Django   and   Django REST Framework.
  • Gained hands-on experience with   digital technologies   in an industrial environment.
  • Tools: Django, Django REST Framework, PostgreSQL

Projects

Screenshot of Stellantis Production Track Web App
Web Application

A web application designed for tracking production and optimizing manufacturing processes at Stellantis.

Accomplishments
  • Developed using Django to manage and monitor production data in real-time.
  • Integrated data visualizations and dashboards for production performance insights.
  • Enhanced data reporting and shift management features to minimize downtime.
Screenshot of L7erf Bot
L7erf Bot

An AI-powered chatbot designed to assist ENSAM students by answering questions, providing resources, and guiding them through academic information.

Accomplishments
  • Extracts data from ENSAM PDFs to provide accurate responses.
  • Built using Rasa for natural language understanding.
  • Helps students with academic queries and general guidance.
TRIZ + RAG Hybrid System
TRIZ + RAG Hybrid System

AI-powered inventive problem solving with TRIZ and Retrieval-Augmented Generation.

Key Features
  • AI generates solutions based on TRIZ principles.
  • Embedding-based document search with context-aware responses.
  • Agentic pipeline for real-time engineering problem-solving.
Workplace QR Reservation System
Workplace QR Reservation System

Web app for real-time desk reservation and QR-based check-in.

Key Features
  • Real-time desk availability and room maps.
  • QR-based check-in and authentication.
  • Admin dashboard for tracking and analytics.
Data Mining Analysis Suite
Data Mining Analysis Suite

Suite for customer/product segmentation and model evaluation.

Outcomes
  • Applied K-Modes, K-Prototypes, and clustering algorithms.
  • Customer/product segmentation.
  • Model evaluation metrics and dashboards.
Smart Data Preprocessing Pipeline
Smart Data Preprocessing Pipeline

Automated, modular pipeline for scalable data preprocessing.

Key Features
  • Handles missing values, categorical encoding, outlier detection.
  • Scalable for large datasets and multiple formats.
  • Modular functions for ML pipelines and notebooks.

Skills

Languages and Databases

Python
HTML5
CSS3
MySQL
C++
Java
JavaScript

Libraries

NumPy
Pandas
OpenCV
scikit-learn
matplotlib

Frameworks

Django
Bootstrap
Keras
TensorFlow
PyTorch

Other

Git
AWS

Education

Baccalauréat in Science Math A

Morocco

Mention: Très Bien

Achievements:

  • Graduated with highest honors.
  • Strong foundation in mathematics and sciences.
4A ENSAM Meknes

Meknes, Morocco

Degree: Industrial Engineering (AI & Data Science)

Relevant Courseworks:

  • Artificial Intelligence
  • Data Science
  • Machine Learning
  • Industrial Engineering
  • Data Analysis

Skills Gained:

  • Proficient in Python, R, and SQL for data analysis.
  • Experience with machine learning frameworks like TensorFlow and Scikit-learn.
  • Strong problem-solving and analytical skills.

Contact

Certifications

Coursera/Stanford
Advanced Learning Algorithms

Issuer: DeepLearning.AI, Stanford University

Issued: May 2025

Credential ID: 5GUGUC521D2L

Skills: Machine Learning, Deep Learning

ECLEE
Lean Six Sigma Yellow Belt

Issuer: ECLEE

Issued: April 2025

Lean Six Sigma Yellow Belt Certification

Coursera/DeepLearning.AI
Supervised Machine Learning: Regression and Classification

Issuer: DeepLearning.AI

Issued: March 2025

Credential ID: BZK5QBQMM8B5

Skills: Machine Learning, Regression, Classification

Udemy
Django Masterclass: Build 9 Real World Django Projects

Issuer: Udemy

Issued: September 2024

Skills: Django, Django REST Framework, Python, HTML

Voir mon CV (PDF)