AI & Data

Designing intelligent systems that learn from data & create impact.

I'm a Data Science & AI Engineer focused on turning real-world problems into deployable ML solutions. Explore my portfolio to see projects leveraging machine learning, deep learning, and MLOps.

FocusML, Deep Learning, MLOps
StackPython • TensorFlow • PyTorch • Next.js
LocationRades • Tunisia
Natej Ghodbane

Natej Ghodbane

Data Science & AI Engineer

5+
Projects
3+
Years
100%
Dedicated
Machine LearningDeep LearningMLOps
About me

Data-driven, user-centric, curious.

Who am I?

Data Science & AI Engineer • ESPRIT

I build intelligent products that connect math, code and people. I work in ML, NLP, recommendation systems and AI-powered web apps.

Core Skills

What I use to craft ideas.

PythonPandasScikit-learnTensorFlowNLPRAGSQLMongoDBPostgresNext.jsGitLinuxMLOpsCI/CDDockerJenkinsmlflowELk
Selected work

Projects

MLOps • AI

Churn Prediction MLOps Platform

End-to-end MLOps platform for customer churn prediction with automated training, MLflow experiment tracking, FastAPI inference, Streamlit dashboard, ELK Stack, and Dockerized CI/CD pipeline.

PythonXGBoostMLflowFastAPIStreamlitDockerJenkinsELK Stack
AI + Web

Agri-Hope Marketplace

Full-stack marketplace for small farmers with an integrated AI assistant.

Next.jsNestJSMongoDB
ML • XAI

Breast Cancer Prediction Platform

End-to-end ML platform for breast cancer prediction developed using CRISP-DM methodology with model interpretability via SHAP, FastAPI backend, and interactive Next.js frontend.

  • ML Models: Logistic Regression, SVM, Random Forest, MLP, XGBoost
  • Explainable AI (XAI) using SHAP for prediction interpretation
  • FastAPI backend with inference API
  • Interactive Next.js web interface
Pythonscikit-learnXGBoostSHAPFastAPINext.js
Experience

Learning by building, mentoring and shipping.

Timeline

Highlights from my journey.

Data Science & AI Engineering Student
ESPRIT • Current

Coursework & projects in ML, Big Data, cloud, full-stack development and software architecture.

IEEE Student Branch
Workshops • Events • Projects

attended Workshops on Data Science, AI, and Web Development. worked on many projects and events as a team member.

ML & MLOps Side Projects
Personal growth • Experimentation • Deployment

Built pipelines with proper experimentation, evaluation and deployment: versioning, metrics and model reproducibility.

What I'm looking for

Internships • collaborations • research.

I'm interested in internships and collaborations where I can:

  • Design and train ML models on real-world datasets.
  • Work with data platforms, pipelines and MLOps tools.
  • Build AI-powered features inside modern web apps.
  • Contribute to open-source or research-oriented work.

If your team works at the intersection of AI, product and impact, I'd love to talk.

Contact

Let's build thoughtful AI together.

I usually reply in 24-48 hours.
Feel free to share your idea, team or opportunity.