Hi I am YOUSSEF ZERBOUH
Master's Student in Data Science and AI Currently pursuing a Master's degree in Data Science and Artificial Intelligence.
About
I am a technology enthusiast passionate about data science and artificial intelligence.
Currently pursuing a Master's degree in Data Science and AI, I have a strong interest in machine learning and the practical application of algorithms in real-world projects.
I am continuously seeking opportunities to learn and grow within the vast field of technology, always eager for challenges that allow me to expand my horizons and enhance my skills.
Below are the technologies I am proficient in:
NumPy
Pandas
TensorFlow
PyTorch
MySQL
Django
Python
Google Cloud Platform
PostgreSQL
MongoDB
Git
Docker
JavaScript
Redis
Apache Kafka
Apache Spark
Apache Airflow
Apache NiFi
Java
AWS
Hadoop
Selenium
React
OpenCV
PHP
Flask
Projects
Dive into the projects developed so far
Amazon Reviews Sentiment Analysis
This project provides a real-time sentiment analysis pipeline for Amazon product reviews using Apache Kafka, Apache Spark Streaming, and MongoDB. It streams Amazon review data to Kafka, processes and predicts sentiment with Spark, and stores the results in MongoDB for further analysis or visualization. Tech: Apache Kafka, Apache Spark, MongoDB, Python, Docker, Machine Learning.
Dog-Cat Classification
A Flask-based web application that utilizes a deep learning Convolutional Neural Network (CNN) to predict whether an uploaded image contains a dog or a cat. The model processes uploaded images and generates predictions with a user-friendly web interface and API endpoint for programmatic access. Tech: Python, Flask, TensorFlow/Keras, CNN, Deep Learning, HTML, CSS.