MUSSAB ZNEIKA

• Data Scientist | AI & Big Data Engineer | Doctor-Engineer in Computer Science
• AI-Driven Data Solutions: Proven expertise in ML models, NLP, and knowledge graph analytics.
• Scalable Data Engineering: Hands-on experience with big data pipelines & distributed computing.
• Industry & Research Experience: Balanced academic research and practical AI applications.
• Mentorship & Leadership: Experienced in leading teams, mentoring students, and knowledge sharing.
• Strong Problem-Solving skills & Communication: Skilled in breaking down complex challenges, collaborating effectively, and driving data-driven solutions.
• Data Interpretation: Expertise in interpreting and analyzing complex datasets to extract meaningful insights and trends.
• Educator with strong foundation in academic teaching and research.

• Graph-Based Machine Learning: Designed graph embeddings for predictive analytics and recommendation systems.
• RDF Summarization with Hadoop & Neo4j: Developed an efficient RDF graph summarization algorithm, reducing data retrieval time by 30%.
• Automated ETL Pipelines: Built scalable ETL workflows integrating multi-source NoSQL data.
• Visualization Interface for Graph Summaries: Created an interactive visualization interface to represent graph summaries generated by our algorithms, enhancing interpretability and usability.

PUBLICATIONS

7+ peer-reviewed research papers, 260+ citations in AI, graph analytics, and big data.

Examples:

• Quality metrics for RDF graph summarization, Published in SWJ: semantic web journal, 2019
• Summarizing semantic graphs: a survey, Published in Very Large Data Bases (VLDB) journal, 2019

• 2024 Python for Data Science, AI & Development - Online non-credit course authorized by IBM (Coursera).
• 2023 Python Data Structures - Theoretical and practical understanding of Python Data Structures.
• 2009 PL/SQL Developer - Oracle Certified Associate.
• 2008 Network Maintenance IT - Assiut University, Egypt.

• Earned a Ph.D. in Computer Science (CY Cergy Paris University).
• Completed a Master’s in Software Engineering (Sorbonne University).
• Awarded an Engineering Diploma in Software & Information Systems (Al-Baath University).
• Published 7+ high-impact papers in top-tier journals and conferences (VLDB Journal, Semantic Web Journal) with 260+ citations.

• Developed scalable methods for RDF graph summarization used in major projects like PICS-Italy and ALODIS in collaboration with CNRS and international institutions.
• Led and contributed to international projects in data integration and semantic web applications.
• Proposed SemSum+, a summarization algorithm that enhances federated querying of RDF knowledge bases.

• Delivered 1,750+ hours of lectures, tutorials, and labs across Bachelor’s, Master’s, and Engineering programs.
• Supervised 35+ student projects, leading them to high-quality academic and professional outcomes.
• Developed customized teaching materials and introduced modern programming and data technologies into the curriculum.
• Achieved high student satisfaction ratings for engaging teaching methods.

• Expert in Java, Python, C, and PHP for research and software development.
• Skilled in Big Data technologies such as HDFS, MapReduce, Neo4j, and MongoDB.
• Experienced in knowledge graph analytics, scalable data processing, and AI-driven solutions.