Available for internships

Hi, I'm Rafeh Maddouri

Data Scientist · ML Engineer · AI Builder

I love turning complex data into clear insights and smart solutions. From predictive models to AI-driven systems, I build technology that actually makes a difference.

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01 / about

About Me

I'm a junior data scientist passionate about machine learning, data analytics, and AI automation. I enjoy solving challenging problems and finding creative ways to make data useful and actionable.

Currently seeking my first internship to grow my skills, gain real-world experience, and contribute to impactful projects. Open to roles in ML, NLP, and data engineering.

Certifications 7 certs

02 / skills

Technical Skills

Programming

Python
R
C / C++
JavaScript
SQL

Machine Learning

Regression & Classification
NLP
Deep Learning
Model Evaluation

Data Tools

Pandas, NumPy
scikit-learn, TensorFlow
PyTorch
Tableau, Power BI

Cloud & Big Data

AWS
Apache Spark
Hadoop

Soft Skills

Communication
Teamwork & Collaboration
Problem-Solving

03 / experience

Work Experience

Freelance Data Scientist

2025 – Present

Delivered ML and analytics solutions for clients on Fiverr and Upwork. Built end-to-end pipelines from data cleaning to model deployment.

Seeking First Internship

2026

Actively seeking an internship to apply data science knowledge in a professional environment and contribute to real-world impactful projects.

Key Achievements

Variational Autoencoder from scratch Built a full encoder-decoder architecture with multi-head self-attention, residual blocks, and KL divergence training on the Stanford Dogs dataset

Multiple applied ML projects Showcasing analytical and coding skills across NLP, classification & more

04 / projects

Featured Projects

Data Analysis Application

A powerful Python-based tool for cleaning, analyzing, and visualizing data in CSV or Excel format.

Python Pandas Matplotlib Seaborn

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AI Text Classification Web App

Full-stack app classifying text into 22 categories using TF-IDF + Logistic Regression, with JWT auth and prediction history.

Python FastAPI React SQLite JWT

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Variational Autoencoder

A custom VAE with self-attention and residual blocks trained on the Stanford Dogs dataset to learn compact latent representations for image reconstruction.

Python PyTorch Generative AI Self-Attention Computer Vision

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Fake News Detector

A machine learning project that classifies news snippets as Fake or Real with 92% accuracy using XGBoost.

Python scikit-learn TF-IDF XGBoost Flask

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Chat Bot for Websites

An embeddable chatbot designed to integrate seamlessly into any website with a Python/Flask backend.

Python Flask JavaScript HTML/CSS

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