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Anis Hentit

@anishentit

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Data scientist specializing in ML, GNNs, and scalable data pipelines for industrial applications.

Algeria

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What I'm looking for

I seek a role building and industrializing ML/GNN solutions and scalable data pipelines, with a collaborative engineering team and opportunities to apply research to production.

I am a data scientist with hands-on experience developing machine learning and deep learning solutions, particularly graph neural networks and time-series models, for industrial and edge computing contexts.

I have delivered production-ready ETL/ELT pipelines in PySpark, industrialized Spark workflows, and implemented CI/CD for data processing libraries to accelerate data ingestion and processing.

My applied research includes GNN-based reinforcement learning for energy-efficient edge deployments and causal analysis models for connected vehicle data, with contributions accepted at an international conference.

I bring a practical engineering mindset from internships and consulting engagements, plus experience building VR and research prototypes, and I seek roles where I can drive model industrialization and scalable data-driven solutions.

Experience

Work history, roles, and key accomplishments

Data Scientist

Stellantis

Feb 2025 - Aug 2025 (6 months)

Developed and industrialized optimization and causal analysis solutions on connected vehicle data, including GNN models for KPI variation analysis and a geometric routing optimizer, and sped Spark data loading by 95× while automating CI/CD for data pipelines.

Pyspark Neo4j Spark Optimization CI CD GNN CNN

Research Intern — IA & Edge

DeVinci Research Center

Apr 2024 - Jul 2024 (3 months)

Conducted applied research on eco-efficient IoT service deployment using RL and GNNs, developed a GNN-based RL model that improved energy efficiency and reduced latency for edge deployments, and co-authored an extended abstract for ICTO 2024.

Reinforcement Learning Spark Distributed Computing Edge Computing Performance Optimization Data Visualization Research

Digital Transformation Consultant

Djezzy

Dec 2020 - Jun 2021 (6 months)

Designed and optimized internal digitalization processes for RAN site request management, cutting validation time from four months to two and improving request tracking workflows.

Process Optimization Stakeholder Management SQL NoSQL Automation