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Consultant Profile

SA

Shuhrah Alghamdi

Areas of Consultancy:
Bayesian methods
Censuses and surveys
Exploratory data analysis
Forecasting
Non-parametric statistics
Probability
Reliability
Simulation
Spatial statistics
Statistical computing
Statistical inference
Survival analysis
Time series

Region of consultancy:
Asia

Profile

Chartered Statistician (CStat) and Director of the Applied Statistics Program at Princess Nourah bint Abdulrahman University, Riyadh. I provide statistical consultancy to the public, private and non-profit sectors, including work on national strategic projects. My work focuses on designing sound statistical methodologies and translating complex data into clear evidence that supports policy, organisational performance and strategic decision-making.

Background

PhD in Mathematical and Statistical Sciences, University of Glasgow (2022); Master of Mathematics, Western Illinois University (2015); Artificial Intelligence Programme, University of Oxford Said Business School (2024). Senior Fellow of the Higher Education Academy (SFHEA) and Project Management Professional (PMP). Consultancy experience includes economic and developmental impact studies, statistical evaluation of innovation projects, statistical expertise for national AI and data programmes, studies on the role of AI in economic development, and research and quality assurance in education and training. Published in Mathematics, Axioms, AIMS Mathematics, Engineering Applications of Artificial Intelligence and Alexandria Engineering Journal. Board Member, Professional Association for Statisticians and Data Scientists.

Specialisms

Bayesian inference and modelling; predictive analytics, machine learning and AI-driven modelling; big data analysis (R, Apache Spark, Google BigQuery); reliability, survival and lifetime analysis, including competing risks; time series and forecasting; survey and questionnaire design and analysis; educational measurement (item response theory); data analysis and reporting in R, SPSS, and Excel. Development of statistics curricula and courses aligned with international standards; training courses in R, data analysis and applied statistics. Arabic and English.

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