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Université Paris Dauphine - PSL
Data Scientist
June 25, 2026 – Present
homelab-template
June 13, 2026 – Present
Self-hosted homelab on Windows 11 / WSL2 (Docker + Traefik + WireGuard) template
View Projectreinforcement_learning_course_practicals
May 30, 2023 – May 30, 2023
Practicals written as part of the Reinforcement Learning course of the IASD master at Dauphine - PSL University
View Projectnewspaper_topic_classification_with_BERT
May 30, 2023 – May 30, 2023
A newspaper articles classification system based on theme/topic using BERT (HuggingFace)
View Projectdeep_learning_with_tensorflow
May 30, 2023 – May 30, 2023
Jupyter Notebooks written as part of the Deep Learning course taught in IASD master at Dauphine - PSL University
View Projectbecome_a_kaggle_master
May 30, 2023 – May 30, 2023
Resources and submissions to the "Become a Kaggle Master" course and Kaggle competition held as part of IASD master at Dauphine - PSL University. Competitions include predictions on stock markets and working with financial data
View Projectbasic_JavaScript_practicals
May 30, 2023 – May 30, 2023
Basic JavaScript practicals as part of the Dynamic Languages course taugh at the Paris Saclay University with my personal solutions
View Projectchicago_crime_classification
April 21, 2021 – April 21, 2021
Python notebook in which I developped a Machine Learning model, by going through the different steps of a Data project, for classifying crimes occuring in Chicago (based on the dataset in the following link : https://data.cityofchicago.org/Public-Safety/Crimes-2001-to-Present/ijzp-q8t2) as part of the "Projet Analyse de Données" course taught at Paris Dauphine University to last year of the IM2D bachelor's degree students
View Project2CP_Project
March 3, 2020 – May 31, 2020
Réalisation d’un outil de gestion de l’historique des anciens étudiants de l’ESI (1989 - 2011)
View Projecthanoi
October 21, 2019 – October 21, 2019
Hanoi Towers game developed with Flutter built-in widgets (by a begginer)
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards Data Science and Machine Learning, which aligns well with a Data Scientist role. The diversity of projects, from web development basics to advanced deep learning, indicates a broad technical curiosity. However, the lack of professional experience beyond a current 'Data Scientist' role at a university (with a future start date) and the absence of team-based projects make it challenging to fully assess cultural fit in a corporate environment. The projects are primarily academic or personal, which is typical for an entry-level candidate, but might require more structured team experience for a senior role.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a proactive and self-directed learning approach, particularly in exploring various data science domains. However, without psychometric test results or interview data, it's difficult to assess specific soft skills like teamwork, communication, or stress handling. The focus on personal projects indicates initiative.