The Data Science Center is a consulting and research unit dedicated to supporting data-driven decision making and advanced analytics across academic, governmental, and industrial sectors. We offer advanced machine learning solutions, AI integration, natural language processing, data analytics, consulting, and cloud solutions tailored to your needs.
Advanced ML solutions tailored to your business needs, unlocking the value hidden in your data.
AI services that enhance decision-making and operational efficiency in existing systems.
Understand and analyze text data to improve customer experience and gain insights.
Comprehensive insights to drive informed business decisions and enhance strategy.
Guidance through challenges, leveraging data-driven solutions effectively.
Flexibility, scalability, and cost efficiency with tailored cloud strategies.
Predictive models and automation
Intelligent system design
Text analysis and insights
Data-driven strategy
Expert guidance
Scalable infrastructure
The Data Science Center at An-Najah National University is a consulting and research unit dedicated to supporting data-driven decision making and advanced analytics across academic, governmental, and industrial sectors.
Our expert team helps organizations unlock the value hidden in their data through advanced machine learning solutions, AI integration, and comprehensive data analytics. We integrate AI technology into existing systems for better performance, enhance decision-making and operational efficiency, and provide comprehensive insights to drive informed business decisions.
Whether you need natural language processing to understand and analyze text data, consulting services to navigate complex challenges, or cloud solutions that provide flexibility and scalability, our team is ready to guide you through every step. We tailor strategies to fit your business model and help you leverage data-driven solutions effectively.
Academic rigor with practical applicability
Academic, government, and industry
Complex data into clear decisions
Collection through deployment
Deep expertise across the full spectrum of data science, from statistical foundations to production-grade machine learning systems.
Developing intelligent models that learn from data to make predictions, recognize patterns, and automate complex decision-making processes.
Developing intelligent models that learn from data to make predictions, recognize patterns, and automate complex decision-making processes.
Designing intelligent systems that simulate human reasoning, perception, and problem-solving to improve automation and innovation.
Applying statistical methods to analyze data, build predictive models, and support evidence-based decision making.
Transforming business data into actionable insights that help organizations optimize operations, strategy, and performance.
We engage in applied research and collaborative projects across critical sectors, leveraging data science and machine learning expertise to deliver measurable outcomes.
Engaged in applied research and collaborative projects with banking and financial institutions, leveraging data science and machine learning expertise to conduct comprehensive analysis of financial datasets, including market trends, customer behavior, and risk assessment. We develop predictive models and implement algorithms to optimize investment strategies, detect fraud, and enhance customer segmentation.
We conduct data-driven public health research focused on disease surveillance, outbreak detection, and epidemiological analysis. By analyzing diverse data sources such as hospital records, laboratory reports, and demographic data, we develop statistical models that support healthcare planning, resource allocation, and the identification of health disparities.
An ongoing collaboration with Najah National University Hospital to develop early-warning models that detect clinical deterioration before it becomes critical. By learning from vital signs, lab trends, and nursing observations recorded in the hospital's information system, the models surface at-risk patients hours earlier than conventional scoring tools, giving care teams the time they need to intervene.
We design and deploy agentic AI systems that automate the slow, paperwork-heavy work around clinical care — triage intake, referral routing, prior authorization, discharge summaries, and patient follow-up. Built on top of modern LLMs with tool use, retrieval, and human-in-the-loop guardrails, these agents integrate with hospital information systems to give clinicians their time back.
We adapt open foundation models to the language and workflows of specific hospitals and clinical specialties. Working from de-identified institutional data, we fine-tune for radiology reporting, clinical note summarization, Arabic-English medical translation, and specialty-specific question answering — then evaluate against clinician-graded benchmarks before any deployment near patient care.
Analysis of large-scale educational datasets to understand factors affecting student performance, including socio-economic background, teaching methods, and curriculum design. Advanced statistical techniques and machine learning are applied to develop predictive models that identify at-risk students, evaluate educational policies, and support data-driven decision-making for educators and policymakers.
Led and participated in consultations and collaborative projects with national and international institutions focused on population census data analysis. We employ advanced statistical techniques and data modeling to extract insights from large-scale demographic data. We develop methodologies for data collection, cleaning, and integration to ensure accurate and reliable analysis, and provide strategic recommendations to inform policy-making and resource allocation.
Collaborate with environmental organizations and institutions on projects related to environmental data analysis and air pollution monitoring. We utilize data science and machine learning techniques to analyze large-scale environmental datasets and identify patterns and trends in order to develop models for air pollution prediction, early warning systems, and policy impact assessment.
If you have questions or want to discuss your needs, we are here to help. Reach out for more details or to set up a consultation. Our team is ready to assist you in finding the right solutions tailored for your success.
Have a question, want to discuss a collaboration, or need to set up a consultation? We are here to help you find the right data-driven solutions.