Language Breakdown
Lines of code distribution across 11 owned repositories
I-Shaped Developer
I-shapedSpecialist — deep expertise in Jupyter Notebook
Collaboration Network
Global Impact visualization
Repos
12
PRs
0
Growth
+18%
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Coding Streak
Contribution activity over the past year
Lucas Saban
@g0bel1n
Tilian BOURACHOT
@tilian15
Mathis
@mathisrezai
Daniel Truskinovsky
@dantruski
Duverdier Matthieu
@matclarck
Top Repositories
This repository showcases my TIPE (Travail d'Initiative Personnelle Encadré) project, which earned me a score of 17/20 from the jury. This project is all about contactless smart card communication using RFID technology.
This repository is a Python project designed to solve a tile rearrangement puzzle. It uses multiple graph traversal algorithms (BFS, an improved BFS, and A*) to find optimized solutions. The project also includes a Pygame-based graphical interface for both playing and visualizing the puzzle solution, with adjustable difficulty levels.
This repository is part of my ML internship with Vincent Divol, where I explored Wasserstein clustering to analyze and cluster French IRIS based on income distributions.
The PY-Music-Genre-Classifier predicts music genres based on audio features extracted from Spotify's API. The project uses supervised learning models such as RandomForest, XGBoost, and CatBoost to classify tracks into predefined genres.
This repository contains the analysis code and data used to investigate the "Radical Right Gender Gap" (RRGG) in Europe, focusing on voting patterns by gender for radical right parties in France, Germany, and Italy.
Time series modeling of the French Industrial Production Index (IPI) with ARIMA. Includes stationarity tests (ADF, KPSS), model selection via AIC/BIC, residual diagnostics and short-term forecasts.
StatApp project @ ENGIE
Team effort at the 5th Hi!ckaton to tackle groundwater management using data processing, machine learning, and strategic planning to propose sustainable solutions.
This project is focused on defining a multivariate median for datasets where the median is not explicitly known. The methodology leverages optimal transport in discrete and semi-discrete settings, where a known distribution (e.g., a uniformly distributed spherical distribution) is transported to the target distribution.
Open Source Impact
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