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PhD student @mbzuai | Ex MVA( Mathematic, Vision & apprentissage) @ ENS Paris-Saclay. Interests : NLP & ML
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
MBZUAI
Data Scientist
June 27, 2026 – Present
Cultural_Commonsense_Knowledge_Graph
October 22, 2024 – Present
[EACL 2026 Main] Framework to construct a Cultural Commonsense Knowledge Graph( CCKG) that have geographical context.
View Projectmva-dlmi-lymphocytosis-classification-project
February 16, 2024 – March 27, 2024
[Deep Learning For Médical Imaging Challenge] Lymphocytosis classification
View Projectmva-molecule-retrieval-with-NLQ
January 9, 2024 – February 4, 2024
[ALTeGraD 2023 Data Challenge] Molecule Retrieval with Natural Language Queries
View ProjectOnline-Dictionary-Learning-for-Sparse-Coding
December 22, 2023 – January 9, 2024
Online-Dictionary-Learning-for-Sparse-Coding — GitHub repository
View ProjectScore-matching-project-
November 3, 2023 – December 22, 2023
Project on denoising score matching for diffusion models for the MVA class "Probabilistic Graphical Models"
View Projectdistributed-systems-project--redis
September 4, 2023 – September 11, 2023
distributed-systems-project--redis — GitHub repository
View ProjectLarge_scale-distributed_systems-project-spark
September 4, 2023 – September 11, 2023
Large_scale-distributed_systems-project-spark — GitHub repository
View Projectsimulation-d-un-pendule-simple-avec-python
September 27, 2020 – December 17, 2021
simulation-d-un-pendule-simple-avec-python — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily academic and personal, indicating a strong interest in research and theoretical applications of data science. The diversity of projects, from knowledge graphs to diffusion models and medical imaging, suggests an adaptable learner. However, the lack of professional experience beyond a current role with a future start date limits the assessment of cultural fit in a corporate environment. The projects are heavily focused on Python and Jupyter Notebook, which aligns with typical data science roles.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style.