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Marwah SulaimanMS
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Marwah Sulaiman

@marwahsulaiman

I build data pipelines and machine learning solutions for real-world prediction and knowledge graph challenges.

France
Message

I'm completing an Erasmus Mundus Joint Master’s in Big Data Management and Analytics while researching LLM-based knowledge graph construction at LISN. My thesis work uses unstructured web content to enrich semantic web annotations for more reliable fact-checking.

At Nokia, I designed and executed automated test plans for NCC, a large-scale real-time data processing solution, validating functionality, data flow, and critical business logic in an Agile CI/CD environment. I also analyzed feature requirements with product owners and delivered customer demos.

I've built Python-based personalized ad recommendations at Vodafone, a MySQL-backed mobile application at Orange, and data and ML projects spanning AWS, Spark, Airflow, Neo4j, CNNs, vision transformers, LSTMs, and GAN-based video super resolution.

Experience

Work history, roles, and key accomplishments

LI

Data Science Research Intern

LISN

Apr 2026 - Sep 2026 (5 months)

Conducting research on using LLMs for knowledge graph construction from unstructured web content, with the goal of enriching semantic web annotations to support more reliable fact-checking.

Education

Degrees, certifications, and relevant coursework

CentraleSupélec - Université Paris-Saclay logoCP

CentraleSupélec - Université Paris-Saclay

Master of Science, Big Data Management and Analytics

2024 -

Grade: 18.2/20

Pursuing an Erasmus Mundus Joint Master's Degree in Big Data Management and Analytics, with coursework in machine learning, deep learning, and data engineering.

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