Avner EL BAZ
@avnerelbaz3500Currently pursuing the Data Science, Statistics and Machine Learning (DSSA) Master’s program at ENSAE Paris, I am building strong expertise in machine learning.
Language Breakdown
Lines of code distribution across 7 owned repositories
I-Shaped Developer
I-shapedSpecialist — deep expertise in Jupyter Notebook
Collaboration Network
Global Impact visualization
Repos
14
PRs
0
Growth
+18%
Top Collaborators
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Coding Streak
Contribution activity over the past year
Guillaume Chervet
@guillaume-chervet
Gabriel Gozlan
@GabrielGozlan
Manal ghorafi
@Manalghorafi
Alban Géron
@alban-geron
Gabriel Fr
@gabrielfrancois
Top Repositories
This project is a web application that allows you to generate secure and customized passwords based on your needs following ANSI rules.
Deep learning class at ENSAE
Lab for the NLP course
This project operationalizes the Kaggle notebook by Hassan Jameel Ahmed into a production-ready interactive dashboard. It explores the cost of a healthy diet across countries and regions from 2017 to 2024, drawing on World Bank data to highlight global disparities in food affordability.
A framework to study wooden language in French political discourse between 1981 and 1993. It combines three complementary approaches: a lexical density baseline based on technocratic vocabulary, a semantic projection framework based on POLAR and InfoNCE
InstruSense is a web application that automatically identifies musical instruments present in an audio file. Users can upload an audio file through an intuitive web interface, and the system returns the list of detected instruments using a deep learning model.
Personal portfolio showcasing advanced projects in AI Engineering, Applied Machine Learning, and R&D. Built by an ENSAE Paris student.
This project aims to analyze and model the time series of the Industrial Production Index (base 100 in 2021) - Aerospace Construction, provided by INSEE (source link). The objective is to apply time series processing techniques, ARMA/ARIMA modeling, and statistical forecasting.
This project combines classical NLP and modern generative AI to simulate adversarial email scenarios for cybersecurity research.
Open Source Impact
Contributions to external projects
